Publications
2025
Ferdinand Schlatt, Maik Fröbe, and Matthias Hagen. Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval. In 18th ACM International Conference on Web Search and Data Mining (WSDM 2025), March 2025. ACM.
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2024
Roxanne El Baff, Khalid Al-Khatib, Milad Alshomary, Kai Konen, Benno Stein, and Henning Wachsmuth. Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models. In 29th Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) (Findings), December 2024. Association for Computational Linguistics.
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Tim Hagen, Harrisen Scells, and Martin Potthast. Revisiting Query Variation Robustness of Transformer Models. In 29th Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) (Findings), December 2024. Association for Computational Linguistics.
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Arno Simons, Wolfgang Kircheis, Marion Schmidt, Martin Potthast, and Benno Stein. Who are the “Heroes of CRISPR”? Public Science Communication on Wikipedia and the Challenge of Micro-Notability. Public Understanding of Science, 33 (7) : 918–934, October 2024.
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Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, and Josefine Umlauft. ml4xcube: Machine Learning Toolkits for Earth System Data Cubes. EarthArXiv, October 2024.
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Irene Lopez Garcia, Ephraim Schott, Marcel Gohsen, Volker Bernhard, Benno Stein, and Bernd Froehlich. Speaking with Objects: Conversational Agents' Embodiment in Virtual Museums. In 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), October 2024. IEEE.
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Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr, Krisztian Balog, Philipp Schaer, Nolwenn Bernard, Ingo Frommholz, Marcel Gohsen, Kaixin Ji, Gareth J. F. Jones, Jüri Keller, Jiqun Liu, Martin Mladenov, Gabriella Pasi, Johanne Trippas, Xi Wang, Saber Zerhoudi, and ChengXiang Zhai. Report on the Workshop on Simulations for Information Access (Sim4IA 2024) at SIGIR 2024. ArXiv, September 2024.
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Magdalena Wolska, Bernd Fröhlich, Katrin Girgensohn, Sassan Gholiagha, Dora Kiesel, Jürgen Neyer, Patrick Riehmann, Mitja Sienknecht, and Benno Stein. Argumentation in Waltz's 'Emerging Structure of International Politics'. In Ronny Boogaart et al., editors, 10th Conference of the International Society for the Study of Argumentation (ISSA 2023), pages 969-979, September 2024. Sciential International Centre for Scholarship in Argumentation Theory.
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Abinew Ali Ayele et al. Overview of PAN 2024: Multi-Author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification. In Lorraine Goeuriot et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), volume 14959 of Lecture Notes in Computer Science, pages 231–259, September 2024. Springer.
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Johannes Kiesel, Marcel Gohsen, Nailia Mirzakhmedova, Matthias Hagen, and Benno Stein. Who Will Evaluate the Evaluators? Exploring the Gen-IR User Simulation Space. In Lorraine Goeuriot et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), volume 14958 of Lecture Notes in Computer Science, pages 166–171, September 2024. Springer.
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Johannes Kiesel, Çağrı Çöltekin, Maximilian Heinrich, Maik Fröbe, Milad Alshomary, Bertrand De Longueville, Tomaž Erjavec, Nicolas Handke, Matyáš Kopp, Nikola Ljubešić, Katja Meden, Nailia Mirzakhmedova, Vaidas Morkevičius, Theresa Reitis-Münstermann, Mario Scharfbillig, Nicolas Stefanovitch, Henning Wachsmuth, Martin Potthast, and Benno Stein. Overview of Touché 2024: Argumentation Systems. In Lorraine Goeuriot et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), volume 14959 of Lecture Notes in Computer Science, pages 308–332, September 2024. Springer.
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Jan Heinrich Merker, Lena Merker, and Alexander Bondarenko. The Impact of Web Search Result Quality on Decision Making. In Lorraine Goeuriot et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), volume 14958 of Lecture Notes in Computer Science, pages 100–112, September 2024. Springer.
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Matti Wiegmann, Benno Stein, and Martin Potthast. De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study. In Lorraine Goeuriot et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), volume 14958 of Lecture Notes in Computer Science, pages 172-178, September 2024. Springer.
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Daria Alexander, Maik Fröbe, Ferdinand Schlatt, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, and Arjen Paul de Vries. Team OpenWebSearch at CLEF 2024: LongEval. In Working Notes Papers of the CLEF 2024 Evaluation Labs, CEUR Workshop Proceedings, September 2024.
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Maik Fröbe, Daria Alexander, Gijs Hendriksen, Ferdinand Schlatt, Matthias Hagen, and Martin Potthast. Team OpenWebSearch at CLEF 2024: QuantumCLEF. In Working Notes Papers of the CLEF 2024 Evaluation Labs, CEUR Workshop Proceedings, September 2024.
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Marlene Gründel, Malte Weber, Johannes Franke, and Jan Heinrich Merker. Team Galápagos Tortoise at LongEval 2024: Neural Re-Ranking and Rank Fusion for Temporal Stability. In Guglielmo Faggioli, Nicola Ferro, Petra Galuscakova, and Alba García Seco de Herrera, editors, Working Notes Papers of the CLEF 2024 Evaluation Labs, volume 3740 of CEUR Workshop Proceedings, pages 2384–2395, September 2024.
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Ludwig Lorenz, Funda Zeynep Aygüler, Ferdinand Schlatt, and Nailia Mirzakhmedova. BaselineAvengers at PAN 2024: Often-Forgotten Baselines for LLM-Generated Text Detection. In Guglielmo Faggioli, Nicola Ferro, Petra Galuščáková, and Alba García Seco de Herrera, editors, Working Notes Papers of the CLEF 2024 Evaluation Labs, September 2024. CEUR-WS.org.
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Jan Heinrich Merker, Alexander Bondarenko, Matthias Hagen, and Adrian Viehweger. MiBi at BioASQ 2024: Retrieval-Augmented Generation for Answering Biomedical Questions. In Guglielmo Faggioli, Nicola Ferro, Petra Galuscakova, and Alba García Seco de Herrera, editors, Working Notes Papers of the CLEF 2024 Evaluation Labs, volume 3740 of CEUR Workshop Proceedings, pages 176–187, September 2024.
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Janek Bevendorff, Matti Wiegmann, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Efstathios Stamatatos, Martin Potthast, and Benno Stein. Overview of the “Voight-Kampff” Generative AI Authorship Verification Task at PAN and ELOQUENT 2024. In Guglielmo Faggioli, Nicola Ferro, Petra Galuščáková, and Alba García Seco de Herrera, editors, Working Notes of CLEF 2024 – Conference and Labs of the Evaluation Forum, CEUR Workshop Proceedings, pages 2486-2506, September 2024. CEUR-WS.org.
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Eva Zangerle, Maximilian Mayerl, Martin Potthast, and Benno Stein. Overview of the Multi-Author Writing Style Analysis Task at PAN 2024. In Guglielmo Faggioli, Nicola Ferro, Petra Galuščáková, and Alba García Seco de Herrera, editors, Working Notes of CLEF 2024 – Conference and Labs of the Evaluation Forum, CEUR Workshop Proceedings, pages 2424-2431, September 2024. CEUR-WS.org.
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Lukas Gienapp, Niklas Deckers, Martin Potthast, and Harrisen Scells. Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins. CoRR, abs/2407.21515, August 2024.
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Alexander Bondarenko, Maik Fröbe, Danik Hollatz, Jan Heinrich Merker, and Matthias Hagen. DeepCT-enhanced Lexical Argument Retrieval. In Yamen Ajjour et al., editors, 11th Workshop on Argument Mining (ArgMining 2024) at ACL, pages 29–35, August 2024. Association for Computational Linguistics.
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Niklas Deckers, Julia Peters, and Martin Potthast. Manipulating Embeddings of Stable Diffusion Prompts. In Kate Larson, editors, 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), pages 7636–7644, August 2024. International Joint Conferences on Artificial Intelligence Organization.
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Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. The Information Retrieval Experiment Platform (Extended Abstract). In Kate Larson, editors, 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), pages 8405–8410, August 2024. International Joint Conferences on Artificial Intelligence Organization.
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Maximilian Spliethöver, Sai Nikhil Menon, and Henning Wachsmuth. Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness. In 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) (Findings), August 2024. Association for Computational Linguistics.
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Philipp Cimiano, Anette Frank, Michael Kohlhase, and Benno Stein, editors. Robust Argumentation Machines, volume 14638 of Lecture Notes in Computer Science, Springer, July 2024.
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Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, and Martin Potthast. Classification of Shared Tasks Used in Teaching. In July 2024. ACM.
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Maik Fröbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein, Matthias Hagen, and Martin Potthast. Resources for Combining Teaching and Research in Information Retrieval Coursework. In Grace Hui Yang et al., editors, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), pages 1115–1125, July 2024. ACM.
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Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, and Martin Potthast. ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. In 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), July 2024. ACM.
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Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, and Martin Potthast. Evaluating Generative Ad Hoc Information Retrieval. In Grace Hui Yang et al., editors, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), pages 1916–1929, July 2024. ACM.
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Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, and Jimmy Lin. Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR. In 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), July 2024. ACM.
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Jordi Tost, Marcel Gohsen, Britta Schulte, Fidel Thomet, Mattis Kuhn, Johannes Kiesel, Benno Stein, and Eva Hornecker. Futuring Machines: An Interactive Framework for Participative Futuring Through Human-AI Collaborative Speculative Fiction Writing. In Mateusz Dubiel et al., editors, 6th Conference on Conversational User Interfaces (CUI 2024), July 2024. ACM.
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Alexander Frummet, Andrea Papenmeier, Maik Fröbe, Johannes Kiesel, Vaibhav Adlakha, Norbert Braunschweiler, Mateusz Dubiel, Satanu Ghosh, Marcel Gohsen, Christin Kreutz, Milad Momeni, Markus Nilles, Sachin Pathiyan Cherumanal, Abbas Pirmoradi, Paul Thomas, Johanne R. Trippas, Ines Zelch, and Oleg Zendel. Report on the 8th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI 2024) at CHIIR 2024. SIGIR Forum, 58 (1), June 2024.
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Meghdut Sengupta, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth. Analyzing the Use of Metaphors in News Editorials for Political Framing. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, 16th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2024), pages 3621–3631, June 2024. Association for Computational Linguistics.
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Maja Stahl, Nadine Michel, Sebastian Kilsbach, Julian Schmidtke, Sara Rezat, and Henning Wachsmuth. A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, 16th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2024), pages 2661–2674, June 2024. Association for Computational Linguistics.
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Maja Stahl, Leon Biermann, Andreas Nehring, and Henning Wachsmuth. Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation. In Ekaterina Kochmar et al., editors, 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), pages 283–298, June 2024. Association for Computational Linguistics.
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Nailia Mirzakhmedova, Marcel Gohsen, Chia Hao Chang, and Benno Stein. Are Large Language Models Reliable Argument Quality Annotators?. In Philipp Cimiano, Anette Frank, Michael Kohlhase, and Benno Stein, editors, 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO-24), volume 14638, pages 129–146, June 2024. Springer.
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Irina Nikishina, Alexander Bondarenko, Sebastian Zaczek, Onno Lander Haag, Matthias Hagen, and Chris Biemann. Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection. In Philipp Cimiano, Anette Frank, Michael Kohlhase, and Benno Stein, editors, 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO-24), volume 14638, pages 317–334, June 2024. Springer.
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Timon Ziegenbein, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. Objective Argument Summarization in Search. In Philipp Cimiano, Anette Frank, Michael Kohlhase, and Benno Stein, editors, 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO-24), volume 14638, pages 335–351, June 2024. Springer.
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Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, and Matthias Hagen. A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking. CoRR, May 2024.
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Shahbaz Syed. Summarizing User-generated Discourse. Dissertation, Leipzig University, May 2024.
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Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Detecting Generated Native Ads in Conversational Search. In Tat-Seng Chua et al., editors, 33rd Web Conference (WWW 2024), pages 722–725, May 2024. ACM.
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Wei-Fan Chen, Milad Alshomary, Maja Stahl, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. Reference-guided Style-Consistent Content Transfer. In Nicoletta Calzolari et al., editors, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024. International Committee on Computational Linguistics.
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Marcel Gohsen, Matthias Hagen, Martin Potthast, and Benno Stein. Task-Oriented Paraphrase Analytics. In Nicoletta Calzolari et al., editors, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 15640–15654, May 2024. ELRA Language Resources Association and International Committee on Computational Linguistics.
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Nailia Mirzakhmedova, Johannes Kiesel, Milad Alshomary, Maximilian Heinrich, Nicolas Handke, Xiaoni Cai, Valentin Barriere, Doratossadat Dastgheib, Omid Ghahroodi, Mohammad Ali Sadraei, Ehsaneddin Asgari, Lea Kawaletz, Henning Wachsmuth, and Benno Stein. The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments. In Nicoletta Calzolari et al., editors, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 16121–16134, May 2024. International Committee on Computational Linguistics.
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Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, and Matthias Hagen. Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders. CoRR, April 2024.
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Matti Wiegmann, Jennifer Rakete, Magdalena Wolska, Benno Stein, and Martin Potthast. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. In April 2024.
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Oleg Zendel, Maik Fröbe, and Guglielmo Faggioli. QPPTK@TIREx: Simplified Query Performance Prediction for Ad-Hoc Retrieval Experiments. In April 2024. CEUR Workshop Proceedings.
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Guglielmo Faggioli, Laura Dietz, Charles L. A. Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthas, Benno Stein, and Henning Wachsmuth. Who Determines What Is Relevant? Humans or AI? Why Not Both?. Communications of the ACM, 67 (4) : 31-34, March 2024.
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Shahbaz Syed, Khalid Al-Khatib, and Martin Potthast. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. In 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), March 2024. Association for Computational Linguistics.
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Marcel Gohsen and Benno Stein. Integrating Query Interpretation Components into the Information Retrieval Experiment Platform. In Sheikh Mastura Farzana et al., editors, 1st International Workshop on Open Web Search (WOWS 2024), pages 63-72, March 2024. CEUR Workshop Proceedings.
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Ferdinand Schlatt. Efficiently Scoring the Health-relatedness of Web Pages. In Sheikh Mastura Farzana et al., editors, 1st International Workshop on Open Web Search (WOWS 2024), pages 14-22, March 2024. CEUR Workshop Proceedings.
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Matti Wiegmann, Jan Heinrich Reimer, Maximilian Ernst, Martin Potthast, Matthias Hagen, and Benno Stein. A Mastodon Corpus to Evaluate Federated Microblog Search. In Sheikh Farzana et al., editors, 1st International Workshop on Open Web Search (WOWS 2024), volume 3689, pages 37-49, March 2024. CEUR Workshop Proceedings.
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Ines Zelch, Gustav Lahmann, and Matthias Hagen. Embedding-based Query Spelling Correction. In Sheikh Mastura Farzana et al., editors, 1st International Workshop on Open Web Search (WOWS 2024), volume 3689, pages 30–36, March 2024. CEUR Workshop Proceedings.
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Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. Product Spam on YouTube: A Case Study. In Min Zhang, Joemon Jose, and Laurianne Sitbon, editors, 9th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2024), March 2024. ACM.
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Alexander Frummet, Andrea Papenmeier, Maik Fröbe, and Johannes Kiesel. 8th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI 2024). In Min Zhang, Joemon Jose, and Laurianne Sitbon, editors, 9th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2024), ACM, pages 433-435, March 2024. Springer.
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Marcel Gohsen and Benno Stein. Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language. In Min Zhang, Joemon Jose, and Laurianne Sitbon, editors, 9th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2024), pages 376-380, March 2024. ACM.
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Ines Zelch, Matthias Hagen, and Martin Potthast. A User Study on the Acceptance of Native Advertising in Generative IR. In Min Zhang, Joemon Jose, and Laurianne Sitbon, editors, 9th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2024), March 2024. ACM.
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Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines. In Nazli Goharian et al., editors, Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14610 of Lecture Notes in Computer Science, pages 56–71, March 2024. Springer.
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Sheikh Farzana, Maik Fröbe, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, and Saber Zerhoudi. 1st International Workshop on Open Web Search (WOWS). In Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), Lecture Notes in Computer Science, March 2024. Springer.
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Gijs Hendriksen, Michael Dinzinger, Sheikh Mastura Farzana, Noor Afshan Fathima, Maik Fröbe, Sebastian Schmidt, Saber Zerhoudi, Michael Granitzer, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, and Benno Stein. The Open Web Index: Crawling and Indexing the Web for Public Use. In Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), Lecture Notes in Computer Science, March 2024. Springer.
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Johannes Kiesel, Marcel Gohsen, Nailia Mirzakhmedova, Matthias Hagen, and Benno Stein. Simulating Follow-up Questions in Conversational Search. In Nazli Goharian et al., editors, Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14609 of Lecture Notes in Computer Science, pages 382–398, March 2024. Springer.
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Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, and Matthias Hagen. Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. In Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), Lecture Notes in Computer Science, March 2024. Springer.
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Ferdinand Schlatt, Maik Fröbe, and Matthias Hagen. Investigating the Effects of Sparse Attention on Cross-Encoders. In Nazli Goharian et al., editors, Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14608 of Lecture Notes in Computer Science, pages 173–190, March 2024. Springer.
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Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, and Guido Zuccon. Zero-shot Generative Large Language Models for Systematic Review Screening Automation. In Nazli Goharian et al., editors, Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14608 of Lecture Notes in Computer Science, pages 403–420, March 2024. Springer.
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David Tschirschwitz, Christian Benz, Morris Florek, Henrik Noerderhus, Benno Stein, and Volker Rodehorst. Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels. In Ullrich Köthe and Carsten Rother, editors, Pattern Recognition. 45th DAGM German Conference (GCPR 2023), volume 14264 of Lecture Notes in Computer Science, pages 605–623, March 2024. Springer.
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2023
Maja Stahl and Henning Wachsmuth. Identifying Feedback Types to Augment Feedback Comment Generation. In Simon Mille, editors, 16th International Natural Language Generation Conference: Generation Challenges (INLG 2023), pages 31–36, 2023. Association for Computational Linguistics.
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Jan Heinrich Reimer, Alexander Bondarenko, Maik Fröbe, and Matthias Hagen. Stance-Aware Re-Ranking for Non-factual Comparative Queries. In Milad Alshomary et al., editors, 10th Workshop on Argument Mining (ArgMining 2023) at EMNLP, pages 45–51, December 2023. Association for Computational Linguistics.
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[doi]
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[video]
Islam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, and Benno Stein. Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification. In Milad Alshomary et al., editors, 10th Workshop on Argument Mining (ArgMining 2023) at EMNLP, pages 157–161, December 2023. Association for Computational Linguistics.
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Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, and Martin Potthast. Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. In Yansong Feng and Els Lefever, editors, 28th Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pages 140–148, December 2023. Association for Computational Linguistics.
[arxiv]
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[demo]
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[video]
Shahbaz Syed, Dominik Schwabe, Khalid Al-Khatib, and Martin Potthast. Indicative Summarization of Long Discussions. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, 28th Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pages 2752–2788, December 2023. Association for Computational Linguistics.
[arxiv]
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[doi]
Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al-Khatib, and Martin Potthast. Citance-Contextualized Summarization of Scientific Papers. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, 28th Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pages 8551–8568, December 2023. Association for Computational Linguistics.
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[data]
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Nailia Mirzakhmedova, Johannes Kiesel, Khalid Al-Khatib, and Benno Stein. Unveiling the Power of Argument Arrangement in Online Persuasive Discussions. In 28th Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) (Findings), December 2023. Association for Computational Linguistics.
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Maja Stahl, Nick Düsterhus, Mei-Hua Chen, and Henning Wachsmuth. Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, 28th Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) (Findings), pages 4703–4717, December 2023. Association for Computational Linguistics.
[arxiv]
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[code]
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[doi]
Magdalena Wolska, Matti Wiegmann, Christopher Schröder, Ole Borchardt, Benno Stein, and Martin Potthast. Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, 28th Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) (Findings), pages 569–576, December 2023. Association for Computational Linguistics.
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[code]
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[doi]
Katrin Girgensohn, Margret Mundorf, Gholiagha Sassan, Julius Voigt, Bernd Fröhlich, Dora Kiesel, Jürgen Neyer, Irene López García, Patrick Riehmann, Mitja Sienknecht, Benno Stein, Matti Wiegmann, and Magdalena Anna Wolska. Forschendes Lernen mit KI im Sozialwissenschaftlichen KI-Labor für Forschendes Lernen (SKILL). : 1–58, November 2023.
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Maik Fröbe, Christine Brychcy, Elisa Kluge, Eric Oliver Schmidt, and Matthias Hagen. Webis at TREC 2023: Tip-of-the-Tongue track. In Ellen M. Voorhees and Angela Ellis, editors, 32th International Text Retrieval Conference (TREC 2023), NIST Special Publication, November 2023. National Institute of Standards and Technology (NIST).
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Shuai Wang, Harrisen Scells, Bevan Koopman, Martin Potthast, and Guido Zuccon. Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. In Qingyao Ai et al., editors, Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP), pages 73–83, November 2023. Association for Computing Machinery.
[arxiv]
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Matti Wiegmann, Magdalena Wolska, Benno Stein, and Martin Potthast. Introducing Computational Research on Trigger Warnings. In Katrin Weller, Pascal Siegers, Indira Sen, and Christina Dahn, editors, Conference on Harmful Online Communication (CHOC 2023), November 2023. Gesis.
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Maik Fröbe, Theresa Elstner, Harrisen Scells, and Martin Potthast. Prototyping Open Web Search Applications with TIRA: A Case Study in Research-oriented Teaching. In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 5th International Symposium on Open Search Technology (OSSYM 2023), October 2023. International Open Search Symposium.
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Ines Zelch, Matthias Hagen, and Martin Potthast. Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search. In Michael Granitzer et al., editors, 5th International Symposium on Open Search Technology (OSSYM 2023), October 2023. International Open Search Symposium.
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Benno Stein, Arno Simons, Martin Potthast, Saskia Hagen, and Kai Wörner. Protokoll 24. In Anna Tuschling, Andreas Sudmann, and Bernhard J. Dotzler, editors, ChatGPT und andere »Quatschmaschinen«, KI-Kritik / AI Critique, transcript. October 2023.
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Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. The Information Retrieval Experiment Platform (Extended Abstract). In Lernen. Wissen. Daten. Analysen. – LWDA 2023, CEUR Workshop Proceedings, pages 179–191, October 2023. CEUR-WS.org.
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Khalid Al-Khatib, Michael Völske, Shahbaz Syed, Anh Le, Martin Potthast, and Benno Stein. A New Dataset for Causality Identification in Argumentative Texts. In David Schlangen et al., editors, 24th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 349–354, September 2023. Association for Computational Linguistics.
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Vahid Sadiri Javadi, Martin Potthast, and Lucie Flek. OpinionConv: Conversational Product Search with Grounded Opinions. In David Schlangen et al., editors, 24th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 66–76, September 2023. Association for Computational Linguistics.
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Shahbaz Syed, Timon Ziegenbein, Philipp Heinisch, Henning Wachsmuth, and Martin Potthast. Frame-oriented Summarization of Argumentative Discussions. In David Schlangen et al., editors, 24th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 114–129, September 2023. Association for Computational Linguistics.
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Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Ríos, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pęzik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, and Eva Zangerle. Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. In Avi Arampatzis et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 14th International Conference of the CLEF Association (CLEF 2023), volume 14163 of Lecture Notes in Computer Science, pages 459–481, September 2023. Springer.
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[ecir abstract]
[event]
Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barriere, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, and Matthias Hagen. Overview of Touché 2023: Argument and Causal Retrieval. In Avi Arampatzis et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 14th International Conference of the CLEF Association (CLEF 2023), volume 14163 of Lecture Notes in Computer Science, pages 507–530, September 2023. Springer.
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Maik Fröbe, Gijs Hendriksen, Arjen Paul de Vries, and Martin Potthast. Open Web Search at LongEval 2023: Reciprocal Rank Fusion on Automatically Generated Query Variants. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos, editors, Working Notes Papers of the CLEF 2023 Evaluation Labs, volume 3497 of CEUR Workshop Proceedings, September 2023.
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Moritz Plenz, Raphael Buchmüller, and Alexander Bondarenko. Argument Quality Prediction for Ranking Documents. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos, editors, Working Notes Papers of the CLEF 2023 Evaluation Labs, CEUR Workshop Proceedings, September 2023. CEUR-WS.org.
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Efstathios Stamatatos, Krzysztof Kredens, Piotr Pezik, Annina Heini, Janek Bevendorff, Benno Stein, and Martin Potthast. Overview of the Authorship Verification Task at PAN 2023. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos, editors, Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), volume 3497 of CEUR Workshop Proceedings, pages 2476–2491, September 2023.
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Matti Wiegmann, Magdalena Wolska, Martin Potthast, and Benno Stein. Overview of the Trigger Detection Task at PAN 2023. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos, editors, Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), volume 3497 of CEUR Workshop Proceedings, pages 2523–2536, September 2023.
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Eva Zangerle, Maximilian Mayerl, Martin Potthast, and Benno Stein. Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos, editors, Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), volume 3497 of CEUR Workshop Proceedings, pages 2513–2522, September 2023.
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Ines Zelch, Matthias Hagen, and Martin Potthast. Advertising in Generative Information Retrieval. In Olof Sundin and Dirk Lewandowski, editors, Workshop on the Impact of Generative AI on Search and Search Engine Research, September 2023.
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Niklas Deckers and Martin Potthast. Towards the Reproducible Evaluation of Generative Information Retrieval Systems. In Olof Sundin and Dirk Lewandowski, editors, Workshop on the impact of generative AI on search and search engine research, September 2023.
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Michael Granitzer et al. Impact and Development of an Open Web Index for Open Web Search. Journal of the Association for Information Science and Technology, August 2023.
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Ringo Baumann and Maximilian Heinrich. Bipolar Abstract Dialectical Frameworks Are Covered by Kleene's Three-valued Logic. In Edith Elkind, editors, 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), pages 3123–3131, August 2023. International Joint Conferences on Artificial Intelligence Organization.
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[doi]
Guglielmo Faggioli, Laura Dietz, Charles L. A. Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein, and Henning Wachsmuth. Perspectives on Large Language Models for Relevance Judgment. In Masaharu Yoshioka, Julia Kiseleva, and Mohammad Aliannejadi, editors, 13th ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2023), pages 39–50, July 2023. ACM.
[arxiv]
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Maik Fröbe, Tim Gollub, Benno Stein, Matthias Hagen, and Martin Potthast. SemEval-2023 Task 5: Clickbait Spoiling. In 17th International Workshop on Semantic Evaluation (SemEval 2023), pages 2278–2289, July 2023. Association for Computational Linguistics.
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Johannes Kiesel, Milad Alshomary, Nailia Mirzakhmedova, Maximilian Heinrich, Nicolas Handke, Henning Wachsmuth, and Benno Stein. SemEval-2023 Task 4: ValueEval: Identification of Human Values behind Arguments. In Ritesh Kumar et al., editors, 17th International Workshop on Semantic Evaluation (SemEval 2023), pages 2287–2303, July 2023. Association for Computational Linguistics.
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Andreas Niekler, Magdalena Wolska, Marvin Thiel, Matti Wiegmann, Benno Stein, and Manuel Burghard. Marco Polo's Travels Revisited: From Motion Event Detection to Optimal Path Computation in 3D Maps. In Anne Baillot, Toma Tasovac, Walter Scholger, and Georg Vogeler, editors, 34th Conference on Digital Humanities (DH 2023), pages 357–359, July 2023. Alliance of Digital Humanities Organizations.
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Janek Bevendorff, Sanket Gupta, Johannes Kiesel, and Benno Stein. An Empirical Comparison of Web Content Extraction Algorithms. In Hsin-Hsi Chen et al., editors, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pages 2594–2603, July 2023. ACM.
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[doi]
Miriam Louise Carnot, Lorenz Heinemann, Jan Braker, Tobias Schreieder, Johannes Kiesel, Maik Fröbe, Martin Potthast, and Benno Stein. On Stance Detection in Image Retrieval for Argumentation. In Hsin-Hsi Chen et al., editors, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pages 2562–2571, July 2023. ACM.
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[video]
Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. The Information Retrieval Experiment Platform. In Hsin-Hsi Chen et al., editors, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pages 2826–2836, July 2023. ACM.
[arxiv]
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[video]
Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, and Martin Potthast. The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives. In Hsin-Hsi Chen et al., editors, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pages 2848–2860, July 2023. ACM.
[arxiv]
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Harrisen Scells and Martin Potthast. pybool_ir: A Toolkit for Domain-Specific Search Experiments. In Hsin-Hsi Chen et al., editors, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pages 3190–3194, July 2023. ACM.
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Harrisen Scells, Ferdinand Schlatt, and Martin Potthast. Smooth Operators for Effective Systematic Review Queries. In Hsin-Hsi Chen et al., editors, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pages 580–590, July 2023. ACM.
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[video]
Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki, Akintunde Oladipo, Xinyu Zhang, Hailey Schoelkopf, Stella Biderman, Martin Potthast, and Jimmy Lin. GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration. In Danushka Bollegala, Ruihong Huang, and Alan Ritter, editors, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), pages 588–598, July 2023. Association for Computational Linguistics.
[arxiv]
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Timon Ziegenbein, Shahbaz Syed, Felix Lange, Martin Potthast, and Henning Wachsmuth. Modeling Appropriate Language in Argumentation. In Anna Rogers, Jordan L. Boyd-Graber, and Naoaki Okazaki, editors, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), pages 4344–4363, July 2023. Association for Computational Linguistics.
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Matti Wiegmann, Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, and Martin Potthast. Trigger Warning Assignment as a Multi-Label Document Classification Problem. In Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki, editors, 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023) (Volume 1: Long Papers), pages 12113–12134, July 2023. Association for Computational Linguistics.
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Yamen Ajjour. Addressing Controversial Topics in Search Engines. Dissertation, Bauhaus-Universität Weimar, June 2023.
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Christine Bauer et al. Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum, 57 (1), June 2023.
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Alexander Bondarenko. Understanding Comparative Questions and Retrieving Argumentative Answers. Dissertation, Friedrich-Schiller-Universität Jena, June 2023.
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Guglielmo Faggioli, Nicola Ferro, Josiane Mothe, Fiana Raiber, and Maik Fröbe. 1st Workshop on Query Performance Prediction and Its Evaluation in New Tasks (QPP++ 2023) at ECIR 2023. SIGIR Forum, 57 (1), June 2023.
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Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, and Martin Potthast. Shared Tasks as Tutorials: A Methodical Approach. In 13th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI 23), pages 15807–15815, June 2023. EAAI.
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Janek Bevendorff, Philipp Sauer, Lukas Gienapp, Wolfgang Kircheis, Erik Körner, Benno Stein, and Martin Potthast. SMAuC – The Scientific Multi-Authorship Corpus. In 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), pages 25–29, June 2023. IEEE.
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Wolfgang Kircheis, Marion Schmidt, Arno Simons, Benno Stein, and Martin Potthast. Mining the History Sections of Wikipedia Articles on Science and Technology. In 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), pages 200–204, June 2023. IEEE.
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Raymond Li et al. StarCoder: may the source be with you!. CoRR, abs/2305.06161, May 2023.
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[demo]
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[url]
Marion Schmidt, Wolfgang Kircheis, Arno Simons, Martin Potthast, and Benno Stein. A Diachronic Perspective on Citation Latency in Wikipedia Articles on CRISPR/Cas-9: An Exploratory Case Study. Scientometrics, May 2023.
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Aarohi Srivastava et al. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Transactions on Machine Learning Research, May 2023.
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Fabian Ziegner, Janos Borst, Andreas Niekler, and Martin Potthast. Using Language Models on Low-end Hardware. CoRR, abs/2305.02350, May 2023.
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Yamen Ajjour, Johannes Kiesel, Benno Stein, and Martin Potthast. Topic Ontologies for Arguments. In Andreas Vlachos and Isabelle Augenstein, editors, 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), pages 1411–1427, May 2023. Association for Computational Linguistics.
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Marcel Gohsen, Matthias Hagen, Martin Potthast, and Benno Stein. Paraphrase Acquisition from Image Captions. In 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), pages 3348–3358, May 2023. Association for Computational Linguistics.
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Christopher Schröder, Lydia Müller, Andreas Niekler, and Martin Potthast. Small-Text: Active Learning for Text Classification in Python. In 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023) (System Demonstrations), May 2023. Association for Computational Linguistics.
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Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, and Norbert Siegmund. Exploring Hyperparameter Usage and Tuning in Machine Learning Research. In 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN 2023), pages 68–79, May 2023. IEEE.
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Maik Fröbe, Lukas Gienapp, Martin Potthast, and Matthias Hagen. Bootstrapped nDCG Estimation in the Presence of Unjudged Documents. In Advances in Information Retrieval. 45th European Conference on IR Research (ECIR 2023), volume 13980 of Lecture Notes in Computer Science, pages 313–329, April 2023. Springer.
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Maik Fröbe, Matti Wiegmann, Nikolay Kolyada, Bastian Grahm, Theresa Elstner, Frank Loebe, Matthias Hagen, Benno Stein, and Martin Potthast. Continuous Integration for Reproducible Shared Tasks with TIRA.io. In Jaap Kamps et al., editors, Advances in Information Retrieval. 45th European Conference on IR Research (ECIR 2023), Lecture Notes in Computer Science, pages 236–241, April 2023. Springer.
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Tim Gollub, Jason Brockmeyer, Benno Stein, and Martin Potthast. Dynamic Exploratory Search for the Information Retrieval Anthology. In Jaap Kamps et al., editors, Advances in Information Retrieval. 45th European Conference on IR Research (ECIR 2023), volume 13982 of Lecture Notes in Computer Science, pages 242–247, April 2023. Springer.
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Alexander Pugachev, Ekaterina Artemova, Alexander Bondarenko, and Pavel Braslavski. Consumer Health Question Answering Using Off-the-shelf Components. In Jaap Kamps et al., editors, Advances in Information Retrieval. 45th European Conference on IR Research (ECIR 2023), volume 13982 of Lecture Notes in Computer Science, pages 571–579, April 2023. Springer.
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Maik Fröbe, Eric Oliver Schmidt, and Matthias Hagen. A Large-Scale Dataset for Known-Item Question Performance Prediction. In QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks, CEUR Workshop Proceedings, April 2023. CEUR-WS.org.
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Zahra Nouri, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment. In 28th International Conference on Intelligent User Interfaces (IUI 2023), pages 737–749, March 2023. ACM.
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Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, and Martin Potthast. The Infinite Index: Information Retrieval on Generative Text-To-Image Models. In Jacek Gwizdka and Soo Young Rieh, editors, 8th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2023), pages 172–186, March 2023. ACM.
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Marcel Gohsen, Johannes Kiesel, Mariam Korashi, Jan Ehlers, and Benno Stein. Guiding Oral Conversations: How to Nudge Users Towards Asking Questions?. In 8th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2023), pages 34–42, March 2023. ACM.
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Loubna Ben Allal et al. SantaCoder: don't reach for the stars!. CoRR, abs/2301.03988, February 2023.
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2022
Henning Schmidgen, Bernhard Dotzler, and Benno Stein. From the Archive to the Computer: Michel Foucault and the Digital Humanities. Journal of Cultural Analytics, 7 (4), 2022.
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Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, and Martin Potthast. Trigger Warnings: Bootstrapping a Violence Detector for FanFiction. CoRR, abs/2209.04409, 2022.
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Sebastian Günther, Paul Göttert, and Matthias Hagen. Exploring LSTMs for Simulating Search Sessions in Digital Libraries. In 26th International Conference on Theory and Practice of Digital Libraries (TPDL 2022), 2022. Springer.
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Craig Macdonald, Gabriela Pasi, Martin Potthast, and Fabrizio Sebastiani. Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum, 56 (2), December 2022.
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Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, and Goran Glavaš. Scientia Potentia Est–On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics, 10 : 1392–1422, December 2022.
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Dieter Bettin, Thomas Maurer, Ferdinand Schlatt, and Simon Bettin. The Scientific Publication Score–A new tool for summarizing evidence and data quality criteria of biomedical publications. Journal of Bone and Joint Infection, 7 (6) : 269–278, December 2022.
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Shahbaz Syed, Dominik Schwabe, and Martin Potthast. Summary Workbench: Unifying Application and Evaluation of Text Summarization Models. In Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang, editors, 27th Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), December 2022. Association for Computational Linguistics.
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Maximilian Spliethöver, Maximilian Keiff, and Henning Wachsmuth. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In 27th Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) (Findings), December 2022. Association for Computational Linguistics.
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Meghdut Sengupta, Milad Alshomary, and Henning Wachsmuth. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In 3rd Workshop on Figurative Language Processing (FLP 2022), December 2022. Association for Computational Linguistics.
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Hugo Laurençon et al. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. In S. Koyejo et al., editors, Advances in Neural Information Processing Systems 35 (NeurIPS 2022), volume 35, pages 31809–31826, December 2022. Curran Associates, Inc..
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Katarzyna Budzynska, Chris Reed, Manfred Stede, Benno Stein, and Zhang He. Framing in Communication: From Theories to Computation (Dagstuhl Seminar 22131). Dagstuhl Reports, 12 (12) : 117–140, November 2022.
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Maik Fröbe, Christopher Akiki, Martin Potthast, and Matthias Hagen. How Train-Test Leakage Affects Zero-shot Retrieval. In Diego Arroyuelo and Barbara Poblete, editors, 29th International Symposium on String Processing and Information Retrieval (SPIRE 2022), volume 13617, pages 147–161, November 2022.
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Alonso Palomino, Martin Potthast, Khalid Al-Khatib, and Benno Stein. Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation. In 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), pages 411–421, November 2022. AACL-IJCNLP.
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Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Alexander Pugachev, Jan Heinrich Reimer, Ferdinand Schlatt, Ekaterina Artemova, Martin Potthast, Benno Stein, Pavel Braslavski, and Matthias Hagen. Webis at TREC 2022: Deep Learning and Health Misinformation. In Ellen M. Voorhees and Angela Ellis, editors, 31th International Text Retrieval Conference (TREC 2022), NIST Special Publication, November 2022. National Institute of Standards and Technology (NIST).
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Maja Stahl, Maximilian Spliethöver, and Henning Wachsmuth. To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. In 5th Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2022), November 2022. Association for Computational Linguistics.
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Liesbeth Allein, Philipp Cimiano, Ivan Habernal, Martin Potthast, Arno Simons, and Benno Stein. Towards Operationalizing Frames through Axiomatization. In Framing in Communication: From Theories to Computation (Dagstuhl Seminar 22131), volume 12, pages 136–139, November 2022. Schloss Dagstuhl-Leibniz-Zentrum für Informatik.
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Alexander Bondarenko, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, and Martin Potthast. CausalQA: A Benchmark for Causal Question Answering. In Nicoletta Calzolari et al., editors, 29th International Conference on Computational Linguistics (COLING 2022), pages 3296–3308, October 2022. International Committee on Computational Linguistics.
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Ferdinand Schlatt, Dieter Bettin, Matthias Hagen, Benno Stein, and Martin Potthast. Mining Health-related Cause-Effect Statements with High Precision at Large Scale. In Nicoletta Calzolari et al., editors, 29th International Conference on Computational Linguistics (COLING 2022), pages 1925–1936, October 2022. International Committee on Computational Linguistics.
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Henning Wachsmuth and Milad Alshomary. “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In 29th International Conference on Computational Linguistics (COLING 2022), pages 344–354, October 2022. International Committee on Computational Linguistics.
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Matti Wiegmann, Khalid Al-Khatib, Vishal Khanna, and Benno Stein. Analyzing Persuasion Strategies of Debaters on Social Media. In 29th International Conference on Computational Linguistics (COLING 2022), pages 6897–6905, October 2022. International Committee on Computational Linguistics.
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Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, and Michael Granitzer. The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. In 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), October 2022. ACM.
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Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. The Impact of Online Affiliate Marketing on Web Search. In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 4th International Symposium on Open Search Technology (OSSYM 2022), October 2022. International Open Search Symposium.
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Niklas Deckers and Martin Potthast. WARC-DL: Scalable Web Archive Processing for Deep Learning. In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 4th International Symposium on Open Search Technology (OSSYM 2022), October 2022. International Open Search Symposium.
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Milad Alshomary and Maja Stahl. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In 9th Workshop on Argument Mining, pages 111–114, October 2022. International Conference on Computational Linguistics.
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Wei-Fan Chen, Mei-hua Chen, Garima Mudgal, and Henning Wachsmuth. Analyzing Culture-Specific Argument Structures in Learner Essays. In 9th Workshop on Argument Mining, pages 51–61, October 2022. Association for Computational Linguistics.
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, and Nicola Ferro, editors. 13th International Conference of the CLEF Association (CLEF 2022), volume 13390 of Lecture Notes in Computer Science, Springer, September 2022.
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Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, and Martin Potthast, editors. Working Notes of the 13th International Conference of the CLEF Association (CLEF 2022), volume 3180 of CEUR Workshop Proceedings, September 2022.
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Theresa Elstner, Johannes Kiesel, Lars Meyer, Max Martius, Sebastian Schmidt, Benno Stein, and Martin Potthast. Visual Web Archive Quality Assessment. In Gianmaria Silvello et al., editors, 26th International Conference on Theory and Practice of Digital Libraries (TPDL 2022), pages 365–371, September 2022. Springer.
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Efstathios Stamatatos, Mike Kestemont, Krzysztof Kredens, Piotr Pezik, Annina Heini, Janek Bevendorff, Benno Stein, and Martin Potthast. Overview of the Authorship Verification Task at PAN 2022. In Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, and Martin Potthast, editors, CLEF 2022 Labs and Workshops, Notebook Papers, volume 3180 of CEUR Workshop Proceedings, September 2022. CEUR-WS.org.
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Eva Zangerle, Maximilian Mayerl, Martin Potthast, and Benno Stein. Overview of the Style Change Detection Task at PAN 2022. In Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, and Martin Potthast, editors, CLEF 2022 Labs and Workshops, Notebook Papers, volume 3180 of CEUR Workshop Proceedings, September 2022. CEUR-WS.org.
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Milad Alshomary, Jonas Rieskamp, and Henning Wachsmuth. Generating Contrastive Snippets for Argument Search. Computational Models of Argument, pages 21–31, IOS Press. September 2022.
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Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reyner Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, and Eva Zangerle. Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. In Alberto Barrón-Cedeño et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 13th International Conference of the CLEF Association (CLEF 2022), volume 13186 of Lecture Notes in Computer Science, September 2022. Springer.
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Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, and Matthias Hagen. Overview of Touché 2022: Argument Retrieval. In Alberto Barrón-Cedeño et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 13th International Conference of the CLEF Association (CLEF 2022), volume 13390 of Lecture Notes in Computer Science, September 2022. Springer.
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Maik Fröbe, Christopher Akiki, Martin Potthast, and Matthias Hagen. Noise-Reduction for Automatically Transferred Relevance Judgments. In Alberto Barrón-Cedeño et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 13th International Conference of the CLEF Association (CLEF 2022), volume 13390 of Lecture Notes in Computer Science, pages 48–61, September 2022. Springer.
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David Tschirschwitz, Franziska Klemstein, Benno Stein, and Volker Rodehorst. A Dataset for Analysing Complex Document Layouts in the Digital Humanities and Its Evaluation with Krippendorff's Alpha. In Björn Andres et al., editors, Pattern Recognition. 44th DAGM German Conference (GCPR 2022), volume 13485 of Lecture Notes in Computer Science, pages 354–374, September 2022. Springer.
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Jan Heinrich Reimer, Johannes Huck, and Alexander Bondarenko. Grimjack at Touché 2022: Axiomatic Re-ranking and Query Reformulation. In Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, and Martin Potthast, editors, Working Notes Papers of the CLEF 2022 Evaluation Labs, volume 3180 of CEUR Workshop Proceedings, September 2022.
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Mei-Hua Chen, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds . In 30th Conference of European Association of Computer Assisted Language Learning 2022 (EUROCALL 2022), August 2022.
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Tim Gollub. Information Retrieval for the Digital Humanities. Dissertation, Bauhaus-Universität Weimar, July 2022.
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Lukas Gienapp, Maik Fröbe, Matthias Hagen, and Martin Potthast. Sparse Pairwise Re-ranking with Pre-trained Transformers. In 12th ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2022), pages 72–80, July 2022. ACM.
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Yamen Ajjour, Pavel Braslavski, Alexander Bondarenko, and Benno Stein. Identifying Argumentative Questions in Web Search Logs. In Enrique Amigó et al., editors, 45th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2022), pages 2393–2399, July 2022. ACM.
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Alexander Bondarenko, Maik Fröbe, Jan Heinrich Reimer, Benno Stein, Michael Völske, and Matthias Hagen. Axiomatic Retrieval Experimentation with ir_axioms. In Enrique Amigó et al., editors, 45th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2022), pages 3131–3140, July 2022. ACM.
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Johannes Kiesel. Harnessing Web Archives to Tackle Selected Societal Challenges. Dissertation, Bauhaus-Universität Weimar, June 2022.
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Svitlana Vakulenko, Johannes Kiesel, and Maik Fröbe. SCAI-QReCC Shared Task on Conversational Question Answering. In Nicoletta Calzolari et al., editors, 14th Language Resources and Evaluation Conference (LREC 2022), pages 4913–4922, June 2022. European Language Resources Association (ELRA).
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Matti Wiegmann, Michael Völske, Martin Potthast, and Benno Stein. Language Models as Context-sensitive Word Search Engines. In Ting-Hao 'Kenneth' Huang et al., editors, 1st Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022), pages 39–45, May 2022. Association for Computational Linguistics.
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Matthias Hagen, Maik Fröbe, Artur Jurk, and Martin Potthast. Clickbait Spoiling via Question Answering and Passage Retrieval. In Smaranda Muresan, Preslav Nakov, and Aline Villavicencio, editors, 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), pages 7025–7036, May 2022. Association for Computational Linguistics.
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Johannes Kiesel, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, and Benno Stein. Identifying the Human Values behind Arguments. In Smaranda Muresan, Preslav Nakov, and Aline Villavicencio, editors, 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), pages 4459–4471, May 2022. Association for Computational Linguistics.
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Christopher Schröder, Andreas Niekler, and Martin Potthast. Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers. In 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) (Findings), May 2022. Association for Computational Linguistics.
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Milad Alshomary, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) (Volume 1: Long Papers), pages 8782–8797, May 2022. Association for Computational Linguistics.
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Francesco De Toni, Christopher Akiki, Javier De La Rosa, Clémentine Fourrier, Enrique Manjavacas, Stefan Schweter, and Daniel Van Strien. Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0. In Workshop on Challenges & Perspectives in Creating Large Language Models (ACL 2022), pages 75–83, May 2022. Association for Computational Linguistics.
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Maik Fröbe, Sebastian Günther, Alexander Bondarenko, Johannes Huck, and Matthias Hagen. Using Keyqueries to Reduce Misinformation in Health-Related Search Results. In 2nd Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2022), CEUR Workshop Proceedings, April 2022. CEUR-WS.org.
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Maik Fröbe, Sebastian Günther, Maximilian Probst, Martin Potthast, and Matthias Hagen. The Power of Anchor Text in the Neural Retrieval Era. In Matthias Hagen et al., editors, Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022), Lecture Notes in Computer Science, April 2022. Springer.
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Maik Fröbe, Nicola Lea Libera, and Matthias Hagen. City of Disguise: A Query Obfuscation Game on the ClueWeb. In Matthias Hagen et al., editors, Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022), Lecture Notes in Computer Science, April 2022. Springer.
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Teven Le Scao et al. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR, abs/2211.05100, March 2022.
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Alexander Bondarenko, Ekaterina Shirshakova, and Matthias Hagen. A User Study on Clarifying Comparative Questions. In David Elsweiler, editors, 7th ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2022), pages 254–258, March 2022. ACM.
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Johannes Kiesel, Volker Bernhard, Marcel Gohsen, Josef Roth, and Benno Stein. What is That? Crowdsourcing Questions to a Virtual Exhibition. In David Elsweiler, editors, 7th ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2022), pages 358–362, March 2022. ACM.
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Christopher Akiki, Lukas Gienapp, and Martin Potthast. Tracking Discourse Influence in Darknet Forums. CoRR, abs/2202.02081, February 2022.
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Alexander Bondarenko, Yamen Ajjour, Valentin Dittmar, Niklas Homann, Pavel Braslavski, and Matthias Hagen. Towards Understanding and Answering Comparative Questions. In K. Selcuk Candan et al., editors, 15th ACM International Conference on Web Search and Data Mining (WSDM 2022), pages 66–74, February 2022. ACM.
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2021
Xuke Hu, Hussein S. Al-Olimat, Jens Kersten, Matti Wiegmann, Friederike Klan, Yeran Sun, and Hongchao Fan. GazPNE: Annotation-Free Deep Learning for Place Name Extraction from Microblogs Leveraging Gazetteer and Synthetic Data by Rules. International Journal of Geographical Information Science, 0 (0) : 1–28, 2021.
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Maik Fröbe, Eric Oliver Schmidt, and Matthias Hagen. Efficient Query Obfuscation with Keyqueries. In 20th International IEEE/WIC/ACM Conference on Web Intelligence (WI-IAT 2021), December 2021. ACM.
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Erik Körner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, and Martin Potthast. On Classifying whether Two Texts are on the Same Side of an Argument. In 26th Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pages 10130–10138, November 2021. Association for Computational Linguistics.
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Shahbaz Syed, Tariq Yousef, Khalid Al-Khatib, Stefan Jänicke, and Martin Potthast. SUMMARY EXPLORER: Visualizing the State of the Art in Text Summarization. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih, editors, 26th Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pages 185–194, November 2021. Association for Computational Linguistics.
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Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. Controlled Neural Sentence-Level Reframing of News Articles. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih, editors, 26th Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) (Findings), pages 2683–2693, November 2021. Association for Computational Linguistics.
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Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, and Martin Potthast. Casting the Same Sentiment Classification Problem. In 26th Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) (Findings), pages 584–590, November 2021. Association for Computational Linguistics.
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Alexander Bondarenko, Ekaterina Shirshakova, Marina Driker, Matthias Hagen, and Pavel Braslavski. Misbeliefs and Biases in Health-Related Searches. In Gianluca Demartini et al., editors, 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), pages 2894–2899, November 2021. ACM.
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Alexander Bondarenko, Maik Fröbe, Marcel Gohsen, Sebastian Günther, Johannes Kiesel, Jakob Schwerter, Shahbaz Syed, Michael Völske, Martin Potthast, Benno Stein, and Matthias Hagen. Webis at TREC 2021: Deep Learning, Health Misinformation, and Podcasts Tracks. In Ellen M. Voorhees and Angela Ellis, editors, 30th International Text Retrieval Conference (TREC 2021), NIST Special Publication, November 2021. National Institute of Standards and Technology (NIST).
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Timon Gurcke, Milad Alshomary, and Henning Wachsmuth. Assessing the Sufficiency of Arguments through Conclusion Generation. In 8th Workshop on Argument Mining, pages 67–77, November 2021. Association for Computational Linguistics.
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Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In Khalid Al-Khatib, Yufang Hou, and Manfred Stede, editors, 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP, pages 184–189, November 2021. Association for Computational Linguistics.
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Johannes Kiesel, Nico Reichenbach, Benno Stein, and Martin Potthast. Image Retrieval for Arguments Using Stance-Aware Query Expansion. In Khalid Al-Khatib, Yufang Hou, and Manfred Stede, editors, 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP, pages 36–45, November 2021. Association for Computational Linguistics.
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Jan Heinrich Reimer, Thi Kim Hanh Luu, Max Henze, and Yamen Ajjour. Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders. In Khalid Al-Khatib, Yufang Hou, and Manfred Stede, editors, 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP, pages 175–183, November 2021. Association for Computational Linguistics.
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Christopher Akiki and Martin Potthast. BERTian Poetics: Constrained Composition with Masked LMs. CoRR, abs/2110.15181, October 2021.
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Kim Breitwieser, Allison Lahnala, Charles Welch, Lucie Flek, and Martin Potthast. Modeling Proficiency with Implicit User Representations. CoRR, abs/2110.08011, October 2021.
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Janek Bevendorff, Martin Potthast, and Benno Stein. FastWARC: Optimizing Large-Scale Web Archive Analytics. In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 3rd International Symposium on Open Search Technology (OSSYM 2021), October 2021. International Open Search Symposium.
[arxiv]
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Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, and Martin Potthast. The Impact of Main Content Extraction on Near-Duplicate Detection. In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 3rd International Symposium on Open Search Technology (OSSYM 2021), October 2021. International Open Search Symposium.
[arxiv]
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Janek Bevendorff, BERTa Chulvi, Gretel Liz De La Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, and Eva Zangerle. Overview of PAN 2021: Authorship Verification,Profiling Hate Speech Spreaders on Twitter,and Style Change Detection. In K. Selcuk Candan et al., editors, 12th International Conference of the CLEF Association (CLEF 2021), September 2021. Springer.
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[ecir abstract]
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[url]
Johannes Kiesel, Xiaoni Cai, Roxanne El Baff, Benno Stein, and Matthias Hagen. Toward Conversational Query Reformulation. In Omar Alonso, Marc Najork, and Gianmaria Silvello, editors, 2nd International Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2021), volume 2950 of CEUR Workshop Proceedings, pages 91–101, September 2021.
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Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, and Matthias Hagen. Overview of Touché 2021: Argument Retrieval. In K. Selçuk Candan et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 12th International Conference of the CLEF Association (CLEF 2021), volume 12880 of Lecture Notes in Computer Science, pages 450–467, September 2021. Springer.
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Arno Simons, Wolfgang Kircheis, Marion Schmidt, Martin Potthast, and Benno Stein. When a social network writes science history: How Wikipedia frames innovation processes. In Framing Innovation in a Networked World. An Interdisciplinary Workshop, September 2021.
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Martin Potthast, Sebastian Günther, Janek Bevendorff, Jan Philipp Bittner, Alexander Bondarenko, Maik Fröbe, Christian Kahmann, Andreas Niekler, Michael Völske, Benno Stein, and Matthias Hagen. The Information Retrieval Anthology. In Lernen. Wissen. Daten. Analysen. – LWDA 2021, September 2021.
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[demo]
Christopher Akiki, Maik Fröbe, Matthias Hagen, and Martin Potthast. Learning to Rank Arguments with Feature Selection. In Guglielmo Faggioli et al., editors, Working Notes Papers of the CLEF 2021 Evaluation Labs, volume 2936 of CEUR Workshop Proceedings, September 2021.
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Lukas Gienapp. Quality-aware Argument Retrieval with Topical Clustering. In Guglielmo Faggioli et al., editors, Working Notes Papers of the CLEF 2021 Evaluation Labs, volume 2936 of CEUR Workshop Proceedings, pages 2366–2373, September 2021. CEUR-WS.org.
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Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Benno Stein, and Martin Potthast. Overview of the Cross-Domain Authorship Verification Task at PAN 2021. In Guglielmo Faggioli et al., editors, Working Notes Papers of the CLEF 2021 Evaluation Labs, volume 2936 of CEUR Workshop Proceedings, September 2021.
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Eva Zangerle, Maximilian Mayerl, Martin Potthast, and Benno Stein. Overview of the Style Change Detection Task at PAN 2021. In Guglielmo Faggioli et al., editors, Working Notes Papers of the CLEF 2021 Evaluation Labs, volume 2936 of CEUR Workshop Proceedings, September 2021.
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Johannes Kiesel, Lars Meyer, Martin Potthast, and Benno Stein. Meta-Information in Conversational Search. ACM Transactions on Information Systems (ACM TOIS), 39 (4), August 2021.
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Xuke Hu, Zhiyong Zhou, Jens Kersten, Matti Wiegmann, and Friederike Klan. GazPNE2: A general and annotation-free place name extractor for microblogs fusing gazetteers and transformer models. In Piotr Jankowski, editors, 11th International Conference on Geographic Information Science (GIScience 2021), pages 53:1–53:6, August 2021. Leibniz-Zentrum für Informatik, Dagstuhl Publishing.
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Maximilian Spliethöver and Henning Wachsmuth. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In Zhi-Hua Zhou, editors, 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), pages 552–559, August 2021. International Joint Conferences on Artificial Intelligence Organization.
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Khalid Al-Khatib, Lukas Trautner, Henning Wachsmuth, Yufang Hou, and Benno Stein. Employing Argumentation Knowledge Graphs for Neural Argument Generation. In Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pages 4744–4754, August 2021. ACL-IJCNLP.
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Milad Alshomary, Shahbaz Syed, Arkajit Dhar, Martin Potthast, and Henning Wachsmuth. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pages 1816–1827, August 2021. ACL-IJCNLP.
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Nikolay Kolyada, Martin Potthast, and Benno Stein. Beyond Metadata: What Paper Authors Say About Corpora They Use. In Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pages 5085–5090, August 2021. ACL-IJCNLP.
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Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, and Gerhard Heyer. Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning. In Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pages 4141–4152, August 2021. Association for Computational Linguistics.
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Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. Generating Informative Conclusions for Argumentative Texts. In Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pages 3482–3493, August 2021. ACL-IJCNLP.
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Yamen Ajjour, Khalid Al-Khatib, Philipp Cimiano, Roxanne El Baff, Basil Ell, Benno Stein, and Henning Wachsmuth, editors. Same Side Stance Classification Shared Task 2019, volume 2921 of CEUR Workshop Proceedings, July 2021.
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Michael Völske, Alexander Bondarenko, Maik Fröbe, Benno Stein, Jaspreet Singh, Matthias Hagen, and Avishek Anand. Towards Axiomatic Explanations for Neural Ranking Models. In Faegheh Hasibi, Yi Fang, and Akiko Aizawa, editors, 2021 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2021), pages 13–22, July 2021. ACM.
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[poster]
Johannes Kiesel, Damiano Spina, Henning Wachsmuth, and Benno Stein. The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. In Stephan Schlögl, Martin Porcheron, and Leigh Clark, editors, 3rd Conference on Conversational User Interfaces (CUI 2021), July 2021. ACM.
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Markus Fischer, Kristof Komlossy, Benno Stein, Martin Potthast, and Matthias Hagen. Identifying Queries in Instant Search Logs. In Fernando Diaz et al., editors, 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021), pages 1692–1696, July 2021. ACM.
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Maik Fröbe, Janek Bevendorff, Lukas Gienapp, Michael Völske, Benno Stein, Martin Potthast, and Matthias Hagen. CopyCat: Near-Duplicates within and between the ClueWeb and the Common Crawl. In Fernando Diaz et al., editors, 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021), pages 2398–2404, July 2021. ACM.
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Martin Potthast, Sebastian Günther, Janek Bevendorff, Jan Philipp Bittner, Alexander Bondarenko, Maik Fröbe, Christian Kahmann, Andreas Niekler, Michael Völske, Benno Stein, and Matthias Hagen. The Information Retrieval Anthology. In Fernando Diaz et al., editors, 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021), pages 2550–2555, July 2021. ACM.
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Sebastian Günther and Matthias Hagen. Assessing Query Suggestions for Search Session Simulation. In Krisztian Balog et al., editors, Causality in Search and Recommendation (CSR) and Simulation of Information Retrieval Evaluation (Sim4IR) workshops at SIGIR 2021, volume 2911 of CEUR Workshop Proceedings, July 2021.
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Yamen Ajjour and Khalid Al-Khatib. Analysing the Submissions to the Same Side Stance Classification Task. In Yamen Ajjour et al., editors, Same Side Stance Classification Shared Task 2019, volume 2921 of CEUR Workshop Proceedings, July 2021.
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Alexander Bondarenko, Ekaterina Shirshakova, Niklas Homann, and Matthias Hagen. ACQuA at Same Side Stance Classification 2019. In Yamen Ajjour et al., editors, Same Side Stance Classification Shared Task 2019, volume 2921 of CEUR Workshop Proceedings, July 2021.
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Erik Körner, Gerhard Heyer, and Martin Potthast. Same Side Stance Classification Using Contextualized Sentence Embeddings. In Yamen Ajjour et al., editors, Same Side Stance Classification Shared Task 2019, volume 2921 of CEUR Workshop Proceedings, July 2021.
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Benno Stein, Yamen Ajjour, Roxanne El Baff, Khalid Al-Khatib, Philipp Cimiano, and Henning Wachsmuth. Same Side Stance Classification. In Yamen Ajjour et al., editors, Same Side Stance Classification Shared Task 2019, volume 2921 of CEUR Workshop Proceedings, July 2021.
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Martin Potthast, Benno Stein, and Matthias Hagen. The Information Retrieval Anthology 2021: Inaugural Status Report and Challenges Ahead. SIGIR Forum, 55 (1), June 2021.
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[doi]
Damiano Spina, Johanne R. Trippas, Paul Thomas, Hideo Joho, Byström Katriina, Leigh Clark, Nick Craswell, Mary Czerwinski, David Elsweiler, Alexander Frummet, Souvick Ghosh, Johannes Kiesel, Irene Lopatovska, Daniel McDuff, Selina Meyer, Ahmed Mourad, Paul Owoicho, Pathiyan Sachin Cherumanal, Daniel Russell, and Laurianne Sitbon. Report on the Future Conversations Workshop at CHIIR 2021. SIGIR Forum, 55 (1), June 2021.
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Khalid Al-Khatib, Tirthankar Ghosal, Yufang Hou, Anita de Waard, and Dayne Freitag. Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead. In 2nd Workshop on Scholarly Document Processing at NAACL, pages 56–65, June 2021. NAACL.
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Henning Schmidgen, Benno Stein, Tim Gollub, Michael Braun, and Jan Willmann. Philosophische Körper. Von digitalem Text zu greifbarem Material. Zeitschrift für digitale Geisteswissenschaften (ZfdG), 6 (6), May 2021.
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Marion Schmidt, Wolfgang Kircheis, Arno Simons, Martin Potthast, and Benno Stein. Does Wikipedia Cover the Relevant Literature on Major Innovations Timely? An Exploratory Case Study of CRISPR/Cas9. In Wolfgang Glänzel, Sarah Heeffer, Pei-Shan Chi, and Ronald Rousseau, editors, 18th International Conference on Scientometrics & Informetrics (ISSI 2021), pages 1021–1026, May 2021. International Society for Scientometrics and Informetrics (I.S.S.I.).
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[video]
Lidor Ivan, Shira Dvir Gvirsman, Mario Haim, and Martin Potthast. Don't Take the Bait: Users' Engagement with Clickbait and Its Effect on Editorial Considerations. In 71st Annual International Communication Association Conference (ICA 2021), May 2021.
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[video]
Philipp Cimiano, Matthias Hagen, and Benno Stein, editors. Argumentation Technology, volume 63, De Gruyter Oldenbourg, April 2021.
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[doi]
Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, and Fabrizio Sebastiani, editors. 43rd International Conference on IR Research (ECIR 2021), volume 12656 of Lecture Notes in Computer Science, Springer, April 2021.
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[doi]
Matti Wiegmann, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein. Opportunities and Risks of Disaster Data from Social Media: A Systematic Review of Incident Information. Natural Hazards and Earth System Sciences, 21 (5) : 1431–1444, April 2021.
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[doi]
Viktoriia Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, and Alexander Panchenko. Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. In Dimitra Gkatzia and Djamé Seddah, editors, 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), pages 302–311, April 2021. ACL.
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Milad Alshomary, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. Belief-based Generation of Argumentative Claims. In 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (EACL 2021), pages 224–233, April 2021. Association for Computational Linguistics.
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Johannes Kiesel, Lars Meyer, Florian Kneist, Benno Stein, and Martin Potthast. An Empirical Comparison of Web Page Segmentation Algorithms. In Djoerd Hiemstra et al., editors, Advances in Information Retrieval. 43rd European Conference on IR Research (ECIR 2021), volume 12657 of Lecture Notes in Computer Science, pages 62–74, March 2021. Springer.
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Dora Kiesel, Patrick Riehmann, Henning Wachsmuth, Benno Stein, and Bernd Fröhlich. Visual Analysis of Argumentation in Essays. IEEE Transactions on Visualization and Computer Graphics, 27 (2) : 1139–1148, February 2021.
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Pertti Vakkari, Michael Völske, Martin Potthast, Matthias Hagen, and Benno Stein. Predicting Essay Quality from Search and Writing Behavior. Journal of the Association for Information Science and Technology, 72 (7) : 839–852, January 2021.
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Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, and Martin Potthast. Web Archive Analytics. In Ralf H. Reussner, Anne Koziolek, and Robert Heinrich, editors, 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020, volume P-307 of Lecture Notes in Informatics, LNI, pages 61–72, January 2021. Gesellschaft für Informatik, GI.
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2020
Shahbaz Syed, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. Task Proposal: Abstractive Snippet Generation for Web Pages. In 13th International Conference on Natural Language Generation (INLG 2020), pages 237–241, December 2020. Association for Computational Linguistics.
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Shahbaz Syed, Roxanne El Baff, Khalid Al-Khatib, Johannes Kiesel, Benno Stein, and Martin Potthast. News Editorials: Towards Summarizing Long Argumentative Texts. In 28th International Conference on Computational Linguistics (COLING 2020), December 2020. Association for Computational Linguistics.
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Henning Wachsmuth and Till Werner. Intrinsic Quality Assessment of Arguments. In 28th International Conference on Computational Linguistics (COLING 2020), pages 6739–6745, December 2020. International Committee on Computational Linguistics.
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Roxanne El Baff, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. Persuasiveness of News Editorials Depending on Ideology and Personality. In 3rd Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES 2020) co-located with COLING, December 2020. Association for Computational Linguistics.
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Khalid Al-Khatib, Viorel Morari, and Benno Stein. Style Analysis of Argumentative Texts by Mining Rhetorical Devices. In 7th Workshop on Argument Mining, pages 106–116, December 2020. ACL.
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Maximilian Spliethöver and Henning Wachsmuth. Argument from Old Man's View: Assessing Social Bias in Argumentation. In 7th Workshop on Argument Mining (ArgMining 2020), pages 76–87, December 2020. Association for Computational Linguistics.
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Janek Bevendorff, Alexander Bondarenko, Maik Fröbe, Sebastian Günther, Michael Völske, Benno Stein, and Matthias Hagen. Webis at TREC 2020: Health Misinformation Track. In Ellen M. Voorhees and Angela Ellis, editors, 29th International Text Retrieval Conference (TREC 2020), NIST Special Publication, November 2020. National Institute of Standards and Technology (NIST).
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Christopher Akiki and Manuel Burghardt. Toward a Musical Sentiment (MuSe) Dataset for Affective Distant Hearing. In Folgert Karsdorp, Barbara McGillivray, Adina Nerghes, and Melvin Wevers, editors, Workshop on Computational Humanities Research (CHR 2020), volume 2723, pages 225–235, November 2020.
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[event]
Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. Detecting Media Bias in News Articles Using Gaussian Bias Distributions. In 25th Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) (Findings), pages 4290–4330, October 2020.
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Lukas Gienapp, Benno Stein, Matthias Hagen, and Martin Potthast. Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain. In Mathieu d'Aquin et al., editors, 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pages 2033–2036, October 2020. ACM.
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[video]
Lukas Gienapp, Maik Fröbe, Matthias Hagen, and Martin Potthast. The Impact of Negative Relevance Judgments on NDCG. In Mathieu d'Aquin et al., editors, 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pages 2037–2040, October 2020. ACM.
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[video]
Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. CauseNet: Towards a Causality Graph Extracted from the Web. In Mathieu d'Aquin et al., editors, 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pages 3023–3030, October 2020. ACM.
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[video]
Johannes Kiesel, Florian Kneist, Lars Meyer, Kristof Komlossy, Benno Stein, and Martin Potthast. Web Page Segmentation Revisited: Evaluation Framework and Dataset. In Mathieu d'Aquin et al., editors, 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pages 3047–3054, October 2020. ACM.
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[research]
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[video]
Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, and Martin Potthast. Towards an Open Web Index: Lessons From the Past. In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 2nd International Symposium on Open Search Technology (OSSYM 2020), October 2020. International Open Search Symposium.
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[slides]
Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, and Martin Potthast. Web Archive Analytics: Infrastructure & Applications @ Webis (extended abstract). In Andreas Wagner, Christian Guetl, Michael Granitzer, and Stefan Voigt, editors, 2nd International Symposium on Open Search Technology (OSSYM 2020), October 2020. International Open Search Symposium.
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Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In 4th Workshop on Natural Language Processing and Computational Social Science, pages 149–154, October 2020.
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Konstantin Kobs, Martin Potthast, Matti Wiegmann, Albin Zehe, Benno Stein, and Andreas Hotho. Towards Predicting the Subscription Status of Twitch.tv Users – ECML-PKDD ChAT Discovery Challenge 2020. In ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch, volume 2661 of CEUR Workshop Proceedings, September 2020.
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[url]
Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, and Matthias Hagen. Overview of Touché 2020: Argument Retrieval. In Avi Arampatzis et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 11th International Conference of the CLEF Association (CLEF 2020), volume 12260 of Lecture Notes in Computer Science, pages 384–395, September 2020. Springer.
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[ecir abstract]
[event]
[video]
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, and Eva Zangerle. Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. In Avi Arampatzis et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 11th International Conference of the CLEF Initiative (CLEF 2020), volume 12260 of Lecture Notes in Computer Science, pages 372–383, September 2020. Springer.
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[video]
Christopher Akiki and Martin Potthast. Exploring Argument Retrieval with Transformers. In Linda Cappellato, Carsten Eickhoff, Nicola Ferro, and Aurélie Névéol, editors, Working Notes Papers of the CLEF 2020 Evaluation Labs, volume 2696, September 2020.
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[url]
Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Martin Potthast, and Benno Stein. Overview of the Cross-Domain Authorship Verification Task at PAN 2020. In Linda Cappellato, Carsten Eickhoff, Nicola Ferro, and Aurélie Névéol, editors, Working Notes Papers of the CLEF 2020 Evaluation Labs, volume 2696 of CEUR Workshop Proceedings, September 2020.
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Matti Wiegmann, Benno Stein, and Martin Potthast. Overview of the Celebrity Profiling Task at PAN 2020. In Linda Cappellato, Carsten Eickhoff, Nicola Ferro, and Aurélie Névéol, editors, Working Notes Papers of the CLEF 2020 Evaluation Labs, volume 2696 of CEUR Workshop Proceedings, September 2020.
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Eva Zangerle, Maximilian Mayerl, Günther Specht, Benno Stein, and Martin Potthast. Overview of the Style Change Detection Task at PAN 2020. In Linda Cappellato, Carsten Eickhoff, Nicola Ferro, and Aurélie Névéol, editors, Working Notes Papers of the CLEF 2020 Evaluation Labs, volume 2696 of CEUR Workshop Proceedings, September 2020.
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Alexander Bondarenko, Alexander Panchenko, Meriem Beloucif, Chris Biemann, and Matthias Hagen. Answering Comparative Questions with Arguments. Datenbank-Spektrum, 20 (2) : 155–160, July 2020.
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[research]
Philipp Cimiano, Gerhard Heyer, Michael Kohlhase, Benno Stein, Jürgen Ziegler, and Theo Härder, editors. Robust Argumentation Machines, volume 20 of Datenbank-Spektrum, Springer, July 2020.
[bib]
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[url]
Milad Alshomary, Nick Düsterhus, and Henning Wachsmuth. Extractive Snippet Generation for Arguments. In 43nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2020), July 2020. ACM.
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Maik Fröbe, Janek Bevendorff, Jan Heinrich Reimer, Martin Potthast, and Matthias Hagen. Sampling Bias Due to Near-Duplicates in Learning to Rank. In 43rd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2020), pages 1997–2000, July 2020. ACM.
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Khalid Al-Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada, and Benno Stein. Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness. In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pages 7067–7072, July 2020. Association for Computational Linguistics.
[bib]
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[url]
Milad Alshomary, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. Target Inference in Argument Conclusion Generation. In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), July 2020. Association for Computational Linguistics.
[bib]
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Janek Bevendorff, Khalid Al-Khatib, Martin Potthast, and Benno Stein. Crawling and Preprocessing Mailing Lists at Scale for Dialog Analysis. In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pages 1151–1158, July 2020. Association for Computational Linguistics.
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[video]
Roxanne El Baff, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pages 3154–3160, July 2020. Association for Computational Linguistics.
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[video]
Lukas Gienapp, Benno Stein, Matthias Hagen, and Martin Potthast. Efficient Pairwise Annotation of Argument Quality. In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pages 5772–5781, July 2020. Association for Computational Linguistics.
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[url]
Avishek Anand, Lawrence Cavedon, Matthias Hagen, Hideo Joho, Mark Sanderson, and Benno Stein. Dagstuhl Seminar 19461 on Conversational Search. SIGIR Forum, 54 (1), June 2020.
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[doi]
Martin Potthast, Matthias Hagen, and Benno Stein. The Dilemma of the Direct Answer. SIGIR Forum, 54 (1), June 2020.
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[doi]
Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, and Martin Potthast. The Importance of Suppressing Domain Style in Authorship Analysis. CoRR, abs/2005.14714, May 2020.
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[url]
Matti Wiegmann, Jens Kersten, Friederike Klan, Martin Potthast, and Benno Stein. Analysis of Detection Models for Disaster-Related Tweets. In Amanda Lee Hughes, Fiona McNeill, and Christopher Zobel, editors, 17th ISCRAM Conference, pages 872–880, May 2020. ISCRAM Digital Library.
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[url]
Avishek Anand, Lawrence Cavedon, Hideo Joho, Mark Sanderson, and Benno Stein. Conversational Search (Dagstuhl Seminar 19461). Dagstuhl Reports, 9 (11) : 34–83, April 2020.
[arxiv]
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[event]
[publisher]
[url]
Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. Abstractive Snippet Generation. In Yennung Huang, Irwin King, Tie-Yan Liu, and Maarten van Steen, editors, 29th Web Conference (WWW 2020), pages 1309–1319, April 2020. ACM.
[arxiv]
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[video]
Maik Fröbe, Jan Philipp Bittner, Martin Potthast, and Matthias Hagen. The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines. In Joemon M. Jose et al., editors, Advances in Information Retrieval. 42nd European Conference on IR Research (ECIR 2020), volume 12036 of Lecture Notes in Computer Science, pages 12–19, April 2020. Springer.
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[doi]
Maik Fröbe, Nina Schwanke, Matthias Hagen, and Martin Potthast. A Search Engine for Police Press Releases to Double-check the News. In Joemon M. Jose et al., editors, Advances in Information Retrieval. 42nd European Conference on IR Research (ECIR 2020), volume 12036 of Lecture Notes in Computer Science, pages 454–458, April 2020. Springer.
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Janek Bevendorff, Tobias Wenzel, Martin Potthast, Matthias Hagen, and Benno Stein. On Divergence-based Author Obfuscation: An Attack on the State of the Art in Statistical Authorship Verification. it – Information Technology, 62 (2) : 99–115, March 2020.
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[url]
Johannes Kiesel, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In Luanne Freund et al., editors, 5th ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), pages 53–62, March 2020. ACM.
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[video]
Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, and Matthias Hagen. Comparative Web Search Questions. In James Caverlee, Xia Ben Hu, Mounia Lalmas, and Wei Wang, editors, 13th ACM International Conference on Web Search and Data Mining (WSDM 2020), pages 52–60, February 2020. ACM.
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Khalid Al-Khatib, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, and Benno Stein. End-to-End Argumentation Knowledge Graph Construction. In 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pages 7367–7374, February 2020. AAAI.
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Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, and Hamed Zamani. Common Conversational Community Prototype: Scholarly Conversational Assistant. CoRR, abs/2001.06910, January 2020.
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[url]
2019
Khalid Al-Khatib. Computational Analysis of Argumentation Strategies. Dissertation, Bauhaus-Universität Weimar, December 2019.
[bib]
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[data]
[doi]
Roxanne El Baff, Henning Wachsmuth, Khalid Al-Khatib, Manfred Stede, and Benno Stein. Computational Argumentation Synthesis as a Language Modeling Task. In Kees van Deemter, Chenghua Lin, and Hiroya Takamura, editors, 12th International Natural Language Generation Conference (INLG 2019), pages 54–64, November 2019. ACL.
[bib]
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[doi]
Shahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein, Hinrich Schütze, and Martin Potthast. Towards Summarization for Social Media – Results of the TL;DR Challenge. In Kees van Deemter, Chenghua Lin, and Hiroya Takamura, editors, 12th International Natural Language Generation Conference (INLG 2019), November 2019.
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[url]
Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, and Benno Stein. Modeling Frames in Argumentation. In Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan, editors, 24th Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019), pages 2922–2932, November 2019. ACL.
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[url]
Alexander Bondarenko, Maik Fröbe, Vaibhav Kasturia, Michael Völske, Benno Stein, and Matthias Hagen. Webis at TREC 2019: Decision Track. In Ellen M. Voorhees and Angela Ellis, editors, 28th International Text Retrieval Conference (TREC 2019), NIST Special Publication, November 2019. National Institute of Standards and Technology (NIST).
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[url]
Wei-Fan Chen, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and Benno Stein. Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In Alberto Barrón-Cedeño et al., editors, 2nd Workshop on NLP for Internet Freedom (NLP4IF 2019) at EMNLP, November 2019. ACL.
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[url]
Henning Wachsmuth. Argumentation Mining. Computational Linguistics, 45 (3) : 603–606, October 2019.
[bib]
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[doi]
Tim Gollub, Leon Hutans, Tanveer Al Jami, and Benno Stein. Exploratory Search Pipes with Scoped Facets. In 2019 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2019), October 2019. ACM.
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[doi]
[poster]
[research]
[slides]
Yamen Ajjour, Henning Wachsmuth, Johannes Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. Data Acquisition for Argument Search: The args.me corpus. In Christoph Benzmüller and Heiner Stuckenschmidt, editors, 42nd German Conference on Artificial Intelligence (KI 2019), pages 48–59, September 2019. Springer.
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Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann, and Eva Zangerle. Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection. In Fabio Crestani et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 10th International Conference of the CLEF Initiative (CLEF 2019), volume 11696 of Lecture Notes in Computer Science, pages 402–416, September 2019. Springer.
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[event]
Martin Potthast, Tim Gollub, Matti Wiegmann, and Benno Stein. TIRA Integrated Research Architecture. In Nicola Ferro and Carol Peters, editors, Information Retrieval Evaluation in a Changing World, volume 41 of Information Retrieval Series, pages 123–160, Springer. September 2019.
[bib]
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[doi]
Paolo Rosso, Martin Potthast, Benno Stein, Efstathios Stamatatos, Francisco Rangel, and Walter Daelemans. Evolution of the PAN Lab on Digital Text Forensics. In Nicola Ferro and Carol Peters, editors, Information Retrieval Evaluation in a Changing World, Information Retrieval Series, pages 461–485, Springer. September 2019.
[bib]
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[doi]
Mike Kestemont, Efstathios Stamatatos, Enrique Manjavacas, Walter Daelemans, Martin Potthast, and Benno Stein. Overview of the Cross-domain Authorship Attribution Task at PAN 2019. In Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller, editors, Working Notes Papers of the CLEF 2019 Evaluation Labs, volume 2380 of CEUR Workshop Proceedings, September 2019.
[bib]
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[event]
[publisher]
[url]
Matti Wiegmann, Benno Stein, and Martin Potthast. Overview of the Celebrity Profiling Task at PAN 2019. In Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller, editors, Working Notes Papers of the CLEF 2019 Evaluation Labs, volume 2380 of CEUR Workshop Proceedings, September 2019.
[bib]
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[event]
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[url]
Eva Zangerle, Michael Tschuggnall, Günther Specht, Benno Stein, and Martin Potthast. Overview of the Style Change Detection Task at PAN 2019. In Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller, editors, Working Notes Papers of the CLEF 2019 Evaluation Labs, volume 2380 of CEUR Workshop Proceedings, September 2019.
[bib]
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[event]
[publisher]
[url]
Benno Stein and Henning Wachsmuth, editors. 6th Workshop on Argument Mining (ArgMining 2019) at ACL, Association for Computational Linguistics, August 2019.
[bib]
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[event]
[publisher]
[url]
Alexander Panchenko, Alexander Bondarenko, Mirco Franzek, Matthias Hagen, and Chris Biemann. Categorizing Comparative Sentences. In Benno Stein and Henning Wachsmuth, editors, 6th Workshop on Argument Mining (ArgMining 2019) at ACL, pages 136–145, August 2019. Association for Computational Linguistics.
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[data]
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[publisher]
[research]
[url]
Michael Völske. Retrieval Enhancements for Task-based Web Search. Dissertation, Bauhaus-Universität Weimar, July 2019.
[bib]
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[doi]
[slides]
Christina Lohr, Johannes Kiesel, Stephanie Luther, Johannes Hellrich, Benno Stein, and Udo Hahn. Continuous Annotation Quality Control, Support for Hierarchically Structured Label Sets and Long-Segment Annotation with WAT-SL 2.0. In Annemarie Friedrich, Jet Hoek, and Deniz Zeyrek, editors, 13th Linguistic Annotation Workshop (LAW 2019) at ACL, July 2019. Association for Computational Linguistics.
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[publisher]
[research]
[url]
Martin Potthast, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein, and Matthias Hagen. Argument Search: Assessing Argument Relevance. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), July 2019. ACM.
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[research]
Michael Völske, Ehsan Fatehifar, Benno Stein, and Matthias Hagen. Query-Task Mapping. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), July 2019. ACM.
[bib]
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[data]
[doi]
[poster]
Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Bias Analysis and Mitigation in the Evaluation of Authorship Verification. In Anna Korhonen, Lluís Màrquez, and David Traum, editors, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pages 6301–6306, July 2019. Association for Computational Linguistics.
[bib]
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[poster]
[publisher]
[url]
Janek Bevendorff, Martin Potthast, Matthias Hagen, and Benno Stein. Heuristic Authorship Obfuscation. In Anna Korhonen, Lluís Màrquez, and David Traum, editors, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pages 1098–1108, July 2019. Association for Computational Linguistics.
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[url]
[video]
Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, and Alexander Panchenko. TARGER: Neural Argument Mining at Your Fingertips. In Martha R. Costa-jussà and Enrique Alfonseca, editors, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pages 195–200, July 2019. Association for Computational Linguistics.
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[demo]
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[publisher]
[research]
[url]
Matti Wiegmann, Benno Stein, and Martin Potthast. Celebrity Profiling. In Anna Korhonen, Lluís Màrquez, and David Traum, editors, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pages 2611–2618, July 2019. Association for Computational Linguistics.
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[doi]
[poster]
Johannes Kiesel, Maria Mestre, Rishabh Shukla, Emmanuel Vincent, Payam Adineh, David Corney, Benno Stein, and Martin Potthast. SemEval-2019 Task 4: Hyperpartisan News Detection. In 13th International Workshop on Semantic Evaluation (SemEval 2019), pages 829–839, June 2019. Association for Computational Linguistics.
[bib]
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[research]
[slides]
[video]
Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Generalizing Unmasking for Short Texts. In Jill Burstein, Christy Doran, and Thamar Solorio, editors, 14th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2019), pages 654–659, June 2019. Association for Computational Linguistics.
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[url]
Johannes Kiesel, Fabienne Hubricht, Benno Stein, and Martin Potthast. A Dataset for Content Error Detection in Web Archives. In Maria Bonn, Stephen J. Downie, Alain Martaus, and Dan Wu, editors, 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019), pages 349–350, June 2019. ACM.
[award]
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[research]
[slides]
Pertti Vakkari, Michael Völske, Martin Potthast, Matthias Hagen, and Benno Stein. Modeling the Usefulness of Search Results as Measured by Information Use. Information Processing & Management, 56 (3) : 879–894, May 2019.
[bib]
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[data]
[doi]
Mathias Lux, Pål Halvorsen, Duc-Tien Dang-Nguyen, Håkon Stensland, Manoj Kesavulu, Martin Potthast, and Michael Riegler. Summarizing E-Sports Matches and Tournaments: The Example of Counter-Strike: Global Offensive. In 11th International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE 2019), May 2019. ACM.
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[doi]
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[slides]
Jens Kersten, Anna Kruspe, Matti Wiegmann, and Friederike Klan. Robust Filtering of Crisis-related Tweets. In Zeno Franco, José J. González, and José H. Canós, editors, 16th International Conference on Information Systems for Crisis Response And Management (ISCRAM 2019), pages 814–824, May 2019.
[bib]
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Stefan Heindorf, Yan Scholten, Gregor Engels, and Martin Potthast. Debiasing Vandalism Detection Models at Wikidata. In Web Conference (WWW 2019), May 2019. ACM.
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[research]
Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, and Djoerd Hiemstra, editors. 41th International Conference on IR Research (ECIR 2019), volume 11437 of Lecture Notes in Computer Science, Springer, April 2019.
[bib]
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[doi]
Milad Alshomary, Michael Völske, Tristan Licht, Henning Wachsmuth, Benno Stein, Matthias Hagen, and Martin Potthast. Wikipedia Text Reuse: Within and Without. In Leif Azzopardi et al., editors, Advances in Information Retrieval. 41st European Conference on IR Research (ECIR 2019), volume 11437 of Lecture Notes in Computer Science, pages 747–754, April 2019. Springer.
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[video]
[wikipedia]
Martin Potthast, Paolo Rosso, Efstathios Stamatatos, and Benno Stein. A Decade of Shared Tasks in Digital Text Forensics at PAN. In Leif Azzopardi et al., editors, Advances in Information Retrieval. 41st European Conference on IR Research (ECIR 2019), volume 11438 of Lecture Notes in Computer Science, pages 291–300, April 2019. Springer.
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[doi]
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[research]
[slides]
Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, and Matthias Hagen. Clarifying False Memories in Voice-based Search. In Martin Halvey et al., editors, 4th ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2019), pages 331–335, March 2019. ACM.
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[doi]
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[research]
[slides]
Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, and Alexander Panchenko. Answering Comparative Questions: Better than Ten-Blue-Links?. In Martin Halvey et al., editors, 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019), pages 361–365, March 2019. ACM.
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[demo]
[doi]
[research]
Andreas Bunte, Benno Stein, and Oliver Niggemann. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In 33rd International Conference on Artificial Intelligence (AAAI 2019), February 2019. AAAI.
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2018
Martin Potthast, Tim Gollub, Matthias Hagen, and Benno Stein. The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength. CoRR, abs/1812.10847, December 2018.
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[event]
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[research]
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[url]
Wei-Fan Chen, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. Learning to Flip the Bias of News Headlines. In Albert Gatt, Martijn Goudbeek, and Emiel Krahmer, editors, 11th International Natural Language Generation Conference (INLG 2018), pages 79–88, November 2018. Association for Computational Linguistics.
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[data]
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[url]
Shahbaz Syed, Michael Völske, Martin Potthast, Nedim Lipka, Benno Stein, and Hinrich Schütze. Task Proposal: The TL;DR Challenge. In Albert Gatt, Martijn Goudbeek, and Emiel Krahmer, editors, 11th International Natural Language Generation Conference (INLG 2018), pages 318–321, November 2018. Association for Computational Linguistics.
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[slides]
[url]
Yamen Ajjour, Henning Wachsmuth, Dora Kiesel, Patrick Riehmann, Fan Fan, Giuliano Castiglia, Rosemary Adejoh, Bernd Fröhlich, and Benno Stein. Visualization of the Topic Space of Argument Search Results in args.me. In Eduardo Blanco and Wei Lu, editors, 23rd Conference on Empirical Methods in Natural Language Processing (EMNLP 2018) – System Demonstrations, pages 60–65, November 2018. Association for Computational Linguistics.
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[publisher]
[research]
[url]
Alexander Bondarenko, Michael Völske, Alexander Panchenko, Chris Biemann, Benno Stein, and Matthias Hagen. Webis at TREC 2018: Common Core Track. In Ellen M. Voorhees and Angela Ellis, editors, 27th International Text Retrieval Conference (TREC 2018), NIST Special Publication, November 2018. National Institute of Standards and Technology (NIST).
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[url]
Frank Hopfgartner, Allan Hanbury, Henning Müller, Ivan Eggel, Krisztian Balog, Torben Brodt, Gordon V. Cormack, Jimmy Lin, Jayashree Kalpathy-Cramer, Noriko Kando, Makoto P. Kato, Anastasia Krithara, Tim Gollub, Martin Potthast, Evelyne Viegas, and Simon Mercer. Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook. Journal of Data and Information Quality (JDIQ), 10 (4) : 15:1–15:32, October 2018.
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[doi]
Johannes Kiesel, Florian Kneist, Milad Alshomary, Benno Stein, Matthias Hagen, and Martin Potthast. Reproducible Web Corpora: Interactive Archiving with Automatic Quality Assessment. Journal of Data and Information Quality (JDIQ), 10 (4) : 17:1–17:25, October 2018.
[award]
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[research]
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. SemEval 2018 Task 12: The Argument Reasoning Comprehension Task. In Marianna Apidianaki et al., editors, 12th International Workshop on Semantic Evaluation (SemEval 2018), October 2018. Association for Computational Linguistics.
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[url]
Mathias Lux, Michael Riegler, Pål Halvorsen, Duc-Tien Dang-Nguyen, and Martin Potthast. E-Sports and Audience. In 12th Vienna Games Conference on Future and Reality of Gaming (FROG 2018), October 2018.
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[copylink]
Roxanne El Baff, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Anna Korhonen and Ivan Titov, editors, 22nd Conference on Computational Natural Language Learning (CoNLL 2018), pages 454–464, October 2018. Association for Computational Linguistics.
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[url]
Daniel Zeman, Jan Hajič, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, and Slav Petrov. CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1–21, October 2018. Association for Computational Linguistics.
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[event]
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[url]
Dora Kiesel, Patrick Riehmann, Fan Fan, Yamen Ajjour, Henning Wachsmuth, Benno Stein, and Bernd Fröhlich. Improving Barycentric Embeddings of Topics Spaces. In IEEE VIS 2018, October 2018. IEEE.
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[poster]
[video]
Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, and Pål Halvorsen. GameStory Task at MediaEval 2018. In Martha Larson et al., editors, Working Notes of the MediaEval 2018 Workshop, volume 1866 of CEUR Workshop Proceedings, October 2018.
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[event]
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[url]
Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, and Pål Halvorsen. Team ORG @ GameStory Task 2018. In Martha Larson et al., editors, Working Notes of the MediaEval 2018 Workshop, volume 1866 of CEUR Workshop Proceedings, October 2018.
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[url]
Pertti Vakkari, Michael Völske, Matthias Hagen, Martin Potthast, and Benno Stein. Predicting Retrieval Success Based on Information Use for Writing Tasks. In Fabio Crestani et al., editors, 22nd International Conference on Theory and Practice of Digital Libraries (TPDL 2018), pages 161–173, September 2018. Springer.
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Andreas Bunte, Oliver Niggemann, and Benno Stein. Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In 23rd International Conference on Emerging Technologies and Factory Automation (ETFA 2018), pages 1383–1390, September 2018.
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Tim Gollub, Erdan Genc, Nedim Lipka, and Benno Stein. Pseudo Descriptions for Meta-Data Retrieval. In 8th International Conference on the Theory of Information Retrieval (ICTIR 2018), pages 139–146, September 2018. ACM.
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Efstathios Stamatatos, Francisco Rangel, Michael Tschuggnall, Benno Stein, Mike Kestemont, Paolo Rosso, and Martin Potthast. Overview of PAN 2018: Author Identification, Author Profiling, and Author Obfuscation. In Patrice Bellot et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 9th International Conference of the CLEF Initiative (CLEF 2018), volume 11018 of Lecture Notes in Computer Science, pages 267–285, September 2018. Springer.
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Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, and Martin Potthast. Overview of the Author Identification Task at PAN 2018: Cross-domain Authorship Attribution and Style Change Detection. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes Papers of the CLEF 2018 Evaluation Labs, volume 2125 of CEUR Workshop Proceedings, September 2018.
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Martin Potthast, Felix Schremmer, Matthias Hagen, and Benno Stein. Overview of the Author Obfuscation Task at PAN 2018: A New Approach to Measuring Safety. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes Papers of the CLEF 2018 Evaluation Labs, volume 2125 of CEUR Workshop Proceedings, September 2018.
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Francisco Rangel, Paolo Rosso, Manuel Montes-y-Gómez, Martin Potthast, and Benno Stein. Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes Papers of the CLEF 2018 Evaluation Labs, volume 2125 of CEUR Workshop Proceedings, September 2018.
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Johannes Kiesel, Arjen P. de Vries, Matthias Hagen, Benno Stein, and Martin Potthast. WASP: Web Archiving and Search Personalized. In Omar Alonso and Gianmaria Silvello, editors, 1st International Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2018), volume 2167 of CEUR Workshop Proceedings, pages 16–21, August 2018.
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Martin Potthast, Tim Gollub, Kristof Komlossy, Sebastian Schuster, Matti Wiegmann, Erika Patricia Garces Fernandez, Matthias Hagen, and Benno Stein. Crowdsourcing a Large Corpus of Clickbait on Twitter. In Emily M. Bender, Leon Derczynski, and Pierre Isabelle, editors, 27th International Conference on Computational Linguistics (COLING 2018), pages 1498–1507, August 2018. Association for Computational Linguistics.
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Henning Wachsmuth, Manfred Stede, Roxanne El Baff, Khalid Al-Khatib, Maria Skeppstedt, and Benno Stein. Argumentation Synthesis following Rhetorical Strategies. In Emily M. Bender, Leon Derczynski, and Pierre Isabelle, editors, 27th International Conference on Computational Linguistics (COLING 2018), pages 3753–3765, August 2018. Association for Computational Linguistics.
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Wei-Fan Chen, Matthias Hagen, Benno Stein, and Martin Potthast. A User Study on Snippet Generation: Text Reuse vs. Paraphrases. In 41st International ACM Conference on Research and Development in Information Retrieval (SIGIR 2018), pages 1033–1036, July 2018. ACM.
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Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, and Matthias Hagen. Toward Voice Query Clarification. In 41st International ACM Conference on Research and Development in Information Retrieval (SIGIR 2018), pages 1257–1260, July 2018. ACM.
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Khalid Al-Khatib, Henning Wachsmuth, Kevin Lang, Jakob Herpel, Matthias Hagen, and Benno Stein. Modeling Deliberative Argumentation Strategies on Wikipedia. In Iryna Gurevych and Yusuke Miyao, editors, 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pages 2545–2555, July 2018. Association for Computational Linguistics.
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Martin Potthast, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, and Benno Stein. A Stylometric Inquiry into Hyperpartisan and Fake News. In Iryna Gurevych and Yusuke Miyao, editors, 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pages 231–240, July 2018. Association for Computational Linguistics.
[arxiv]
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Henning Wachsmuth, Shahbaz Syed, and Benno Stein. Retrieval of the Best Counterargument without Prior Topic Knowledge. In Iryna Gurevych and Yusuke Miyao, editors, 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pages 241–251, July 2018. Association for Computational Linguistics.
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Jiani Qu, Anny Marleen Hißbach, Tim Gollub, and Martin Potthast. Towards Crowdsourcing Clickbait Labels for YouTube Videos. In Yiling Chen and Gabrielle Kazai, editors, 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), July 2018.
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Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. In 13th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2018), June 2018. Association for Computational Linguistics.
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Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Heng Ji, Amanda Stent, and Marilyn Walker, editors, 13th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2018), June 2018. Association for Computational Linguistics.
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Tim Gollub, Martin Potthast, and Benno Stein. Shaping the Information Nutrition Label. In Dyaa Albakour et al., editors, 2nd International Workshop on Recent Trends in News Information Retrieval (NewsIR 2018) at ECIR, volume 2079 of CEUR Workshop Proceedings, pages 9–11, March 2018.
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Martin Potthast, Wei-Fan Chen, Matthias Hagen, and Benno Stein. A Plan for Ancillary Copyright: Original Snippets. In Dyaa Albakour et al., editors, 2nd International Workshop on Recent Trends in News Information Retrieval (NewsIR 2018) at ECIR, volume 2079 of CEUR Workshop Proceedings, pages 3–5, March 2018.
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Shahbaz Syed, Tim Gollub, Marcel Gohsen, Nikolay Kolyada, Benno Stein, and Matthias Hagen. Cross-Reading News. In Dyaa Albakour et al., editors, 2nd International Workshop on Recent Trends in News Information Retrieval (NewsIR 2018) at ECIR, volume 2079 of CEUR Workshop Proceedings, pages 24–26, March 2018.
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Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl. In Leif Azzopardi, Allan Hanbury, Gabriella Pasi, and Benjamin Piwowarski, editors, Advances in Information Retrieval. 40th European Conference on IR Research (ECIR 2018), Lecture Notes in Computer Science, March 2018. Springer.
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Matti Wiegmann, Michael Völske, Benno Stein, Matthias Hagen, and Martin Potthast. Heuristic Feature Selection for Clickbait Detection. CoRR, abs/1802.01191, February 2018.
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Anna Kruspe, Jens Kersten, Matti Wiegmann, Benno Stein, and Friederike Klan. Classification of Incident-related Tweets: Tackling Imbalanced Training Data using Hybrid CNNs and Translation-based Data Augmentation. In Text REtrieval Conference (TREC), January 2018.
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2017
Norbert Fuhr, Anastasia Giachanou, Gregory Grefenstette, Iryna Gurevych, Andreas Hanselowski, Kalervo Jarvelin, Rosie Jones, Yiqun Liu, Josiane Mothe, Wolfgang Nejdl, Isabella Peters, and Benno Stein. An Information Nutritional Label for Online Documents. SIGIR Forum, 51 (3) : 44–66, December 2017.
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Stefan Heindorf, Martin Potthast, Gregor Engels, and Benno Stein. Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017. In Martin Potthast, Stefan Heindorf, and Hannah Bast, editors, WSDM Cup 2017 Notebook Papers, December 2017.
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Matthias Hagen, Martin Potthast, Payam Adineh, Ehsan Fatehifar, and Benno Stein. Source Retrieval for Web-Scale Text Reuse Detection. In Ee-Peng Lim et al., editors, 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), pages 2091–2094, November 2017. ACM.
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Matthias Hagen, Yamen Ajjour, Johannes Kiesel, Payam Adineh, and Benno Stein. Webis at TREC 2017: Open Search and Core Tracks. In Ellen M. Voorhees and Lori P. Buckland, editors, 26th International Text Retrieval Conference (TREC 2017), NIST Special Publication, November 2017. National Institute of Standards and Technology (NIST).
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Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, and Benno Stein. Patterns of Argumentation Strategies across Topics. In Rebecca Hwa, Martha Palmer, and Sebastian Riedel, editors, 22nd Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), pages 1362–1368, September 2017. Association for Computational Linguistics.
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Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, and Benno Stein. The Impact of Modeling Overall Argumentation with Tree Kernels. In Rebecca Hwa, Martha Palmer, and Sebastian Riedel, editors, 22nd Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), pages 2369–2379, September 2017. Association for Computational Linguistics.
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Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, and Benno Stein. Unit Segmentation of Argumentative Texts. In Kevin Ashley et al., editors, 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 118–128, September 2017. Association for Computational Linguistics.
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Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In Kevin Ashley et al., editors, 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 49–59, September 2017. Association for Computational Linguistics.
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Martin Potthast, Francisco Rangel, Michael Tschuggnall, Efstathios Stamatatos, Paolo Rosso, and Benno Stein. Overview of PAN 2017: Author Identification, Author Profiling, and Author Obfuscation. In Gareth J. F. Jones et al., editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 8th International Conference of the CLEF Initiative (CLEF 2017), volume 10456 of Lecture Notes in Computer Science, pages 275–290, September 2017. Springer.
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Matthias Hagen, Martin Potthast, and Benno Stein. Overview of the Author Obfuscation Task at PAN 2017: Safety Evaluation Revisited. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomad Mandl, editors, Working Notes Papers of the CLEF 2017 Evaluation Labs, volume 1866 of CEUR Workshop Proceedings, September 2017.
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Matthias Hagen, Johannes Kiesel, Milad Alshomary, and Benno Stein. Webis at the CLEF 2017 Dynamic Search Lab. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomad Mandl, editors, Working Notes Papers of the CLEF 2017 Evaluation Labs, volume 1866 of CEUR Workshop Proceedings, September 2017.
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Francisco Rangel, Paolo Rosso, Martin Potthast, and Benno Stein. Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomad Mandl, editors, Working Notes Papers of the CLEF 2017 Evaluation Labs, volume 1866 of CEUR Workshop Proceedings, September 2017.
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Michael Tschuggnall, Efstathios Stamatatos, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, and Martin Potthast. Overview of the Author Identification Task at PAN 2017: Style Breach Detection and Author Clustering. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomad Mandl, editors, Working Notes Papers of the CLEF 2017 Evaluation Labs, volume 1866 of CEUR Workshop Proceedings, September 2017.
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Michael Völske, Martin Potthast, Shahbaz Syed, and Benno Stein. TL;DR: Mining Reddit to Learn Automatic Summarization. In Giuseppe Carenini, Jackie Chi Kit Cheung, Fei Liu, and Lu Wang, editors, Workshop on New Frontiers in Summarization at EMNLP 2017, pages 59–63, September 2017. Association for Computational Linguistics.
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Astrid Frey, Matthias Hagen, and Benno Stein. Anomalieerkennung im Bereich Industrie 4.0. Industrie 4.0 Management, 33 (4) : 53–56, August 2017.
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Matthias Hagen, Martin Potthast, Marcel Gohsen, Anja Rathgeber, and Benno Stein. A Large-Scale Query Spelling Correction Corpus. In Noriko Kando et al., editors, 40th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2017), pages 1261–1264, August 2017. ACM.
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Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, and Benno Stein. Argumentation Quality Assessment: Theory vs. Practice. In Regina Barzilay and Min-Yen Kan, editors, 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pages 250–255, August 2017. Association for Computational Linguistics.
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Daniel Zeman et al. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1–19, August 2017. Association for Computational Linguistics.
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Matthias Hagen and Benno Stein. Weblog Analysis. In Reda Alhajj and Jon G. Rokne, editors, Encyclopedia of Social Network Analysis and Mining (ESNAM), pages 1–9, Springer. August 2017.
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Benno Stein, Tim Gollub, and Maik Anderka. Retrieval Models. In Reda Alhajj and Jon G. Rokne, editors, Encyclopedia of Social Network Analysis and Mining (ESNAM), pages 1–7, Springer. August 2017.
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Henning Wachsmuth and Benno Stein. A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media (ACM TOIT), 17 (3) : 28:1–28:24, June 2017.
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