Synopsis

Argumentation Analysis (ArguAna) for the Web is a cooperative research project of the Webis group at the Bauhaus-Universität Weimar and the UKP lab at the TU Darmstadt, funded by the German Research Foundation (DFG).

The project targets at the specific challenges of mining arguments and their relations from natural language text on the web. 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. Previous research on argument mining tackles the identification and relation of arguments within a particular domain, but it does not suffice to successfully mine arguments from the web.

Resources and Tools

  • Service: Argument search.
    Search engine for arguments from the web.
  • API: Argument search.
    Access to the argument search engine via a REST interface.
  • Demo: Essay scoring.
    Assessing the Argumentation Quality of Persuasive Essays. Thanks to Patrick Saad for the nice demo!

People

Students: Janek Bevendorff, Jonas Dorsch, Viorel Morari, Jana Puschmann, Jiani Qu, Patrick Saad

Publications

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 Proceedings of the Fourth Workshop on Argument Mining (ArgMining 17), pages 49–59, September 2017. [paper] [bib] [demo] [slides]
Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, and Benno Stein. The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 17), pages 2369–2379, September 2017. Association for Computational Linguistics. [publisher] [paper] [bib] [video] [code] [slides]
Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, and Benno Stein. Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 17), pages 1362-1368, September 2017. Association for Computational Linguistics. [publisher] [paper] [bib]
Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, and Benno Stein. Unit Segmentation of Argumentative Texts. In Proceedings of the Fourth Workshop on Argument Mining (ArgMining 17), pages 118-128, September 2017. [paper] [bib]
Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, and Benno Stein. Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 17) (to appear) , August 2017. [paper] [bib] [code] [poster]
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. [doi] [article] [bib]
Henning Wachsmuth, Benno Stein, and Yamen Ajjour. "PageRank" for Argument Relevance. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 17), pages 1116-1126, April 2017. [publisher] [paper] [corpus] [bib] [code] [slides]
Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, and Benno Stein. Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 17), pages 176-187, April 2017. [publisher] [paper] [corpus] [bib] [slides]
Johannes Kiesel, Henning Wachsmuth, Khatib Al-Khatib, and Benno Stein. WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 17), pages 13-16, April 2017. [publisher] [paper] [bib] [code]
Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. Using Argument Mining to Assess the Argumentation Quality of Essays. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 16), pages 1680-1692, December 2016. [publisher] [paper] [bib] [code] [demo] [poster]
Khalid Al-Khatib, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen, and Benno Stein. A News Editorial Corpus for Mining Argumentation Strategies. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 16), pages 3433-3443, December 2016. [publisher] [paper] [corpus] [bib] [code] [poster]
Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, and Benno Stein. Cross-Domain Mining of Argumentative Text through Distant Supervision. In 15th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 16), pages 1395-1404, June 2016. Association for Computational Linguistics. [doi] [paper] [bib]
Henning Wachsmuth, Johannes Kiesel, and Benno Stein. Sentiment Flow—A General Model of Web Review Argumentation. In Lluís Márquez, Chris Callison-Burch, and Jian Su, editors, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 15), pages 601-611, September 2015. Association for Computational Linguistics. [publisher] [paper] [bib] [video] [code] [slides]
Henning Wachsmuth, Martin Trenkmann, Benno Stein, and Gregor Engels. Modeling Review Argumentation for Robust Sentiment Analysis. In Junichi Tsujii and Jan Hajic, editors, 25th International Conference on Computational Linguistics (COLING 14), pages 553-564, August 2014. Association for Computational Linguistics. [paper] [bib] [code] [poster]
Henning Wachsmuth, Martin Trenkmann, Benno Stein, Gregor Engels, and Tsvetomira Palakarska. A Review Corpus for Argumentation Analysis. In Alexander Gelbukh, editors, 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 14), pages 115-127, Berlin Heidelberg New York, April 2014. Springer. ISBN 978-3-642-54902-1. [doi] [paper] [corpus] [bib] [slides]