Computational Argumentation
Synopsis
The project targets the specific challenges of mining arguments and their relations from natural language text. We seek to establish foundations of algorithms that (1) robustly apply to various forms of web argumentation, (2) efficiently leverage the scale of the web, and (3) complement argument mining with an argumentation analysis to effectively assess important quality dimensions. The rationale of the project is that people compare arguments in many situations, e.g., when buying products or when forming opinions on political controversies. The richest and most up-to-date argument source is the web. [api: argument search, argument tagging, object comparison] [demos: argument tagging, essay scoring, image search, object comparison, review analysis] [publications] [service]
People
- Yamen Ajjour
- Khalid Al-Khatib
- Wei-Fan Chen
- Matthias Hagen
- Johannes Kiesel
- Benno Stein
- Henning Wachsmuth