Henning Wachsmuth

Bauhaus-Universität Weimar
Bauhausstraße 9a · Room 206
99423 Weimar, Germany

Email: henning.wachsmuth[at]uni-weimar.de
Phone: +49 (0)3643 - 58 3566

Research

I am a PostDoc at the Webis group, working in the field of natural language processing. My main area of interest is computational argumentation. The general question that drives most of my current research is:

How do people argue today? 

Together with my colleagues and other researchers around the world, I work on computational text analysis approaches to identify common, good, and bad ways of arguing. In particular, I focus on the following tasks:

  • Modeling the overall argumentation of natural language text
  • Analyzing the argumentation strategy of the author of a text
  • Assessing argument and argumentation quality
  • Searching on the web for relevant arguments

Many of the outcomes of our research can be found at www.arguana.com.

Possible applications of my research are writing assistance in word processors, automated grading in open online education, or argument retrieval in web search engines. In summer 2017, we published the first version of our argument search engine, args.me.

During my PhD time at the University of Paderborn, I studied how text analysis can be integrated automatically, efficiently, and robustly into such applications.

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]
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, 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]
Henning Wachsmuth. Pipelines für effiziente und robuste Ad-hoc Textanalyse. In Ausgezeichnete Informatikdissertationen 2015 volume D-16 of Lecture Notes in Informatics, pages 329–338, May 2016. Gesellschaft für Informatik. ISBN 978-3-88579-975-7. [publisher] [paper] [bib]
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. Text Analysis Pipelines—Towards Ad-hoc Large-scale Text Mining. Springer, 2015. ISBN 978-3-319-25740-2. [doi] [paper] [bib] [code]
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]
Frank Brüseke, Henning Wachsmuth, Gregor Engels, and Steffen Becker. PBlaman: Performance Blame Analysis based on Palladio Contracts. Concurrency and Computation Practice and Experience, 26 (12) : 1975–2004, 2014. [bib]
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]
Henning Wachsmuth, Benno Stein, and Gregor Engels. Learning Efficient Information Extraction on Heterogeneous Texts. In Asian Federation of Natural Language Processing, editors, 6th International Joint Conference on Natural Language Processing (IJCNLP 13), pages 534-542, October 2013. AFNLP. ISBN 978-4-9907348-0-0. [publisher] [paper] [bib] [code]
Henning Wachsmuth, Benno Stein, and Gregor Engels. Information Extraction as a Filtering Task. In Qi He and Arun Iyengar, editors, 22nd ACM International Conference on Information and Knowledge Management (CIKM 13), pages 2049-2058, October 2013. ACM. ISBN 978-1-4503-2263-8. [doi] [paper] [bib] [code]
Henning Wachsmuth, Mirko Rose, and Gregor Engels. Automatic Pipeline Construction for Real-Time Annotation. In Alexander Gelbukh, editors, 14th International Conference on Intelligent Text Processing and Computational Linguistics volume 7816 of Lecture Notes in Computer Science, pages 38–49, March 2013. Springer. [doi] [paper] [bib] [code]
Henning Wachsmuth and Benno Stein. Optimal Scheduling of Information Extraction Algorithms. In Martin Kay and Christian Boitet, editors, 24th International Conference on Computational Linguistics: Posters (COLING 12), pages 1281-1290, December 2012. COLING 2012 Organizing Committee. [paper] [bib]
Henning Wachsmuth and Kathrin Bujna. Back to the Roots of Genres: Text Classification by Language Function. In 5th International Joint Conference on Natural Language Processing, pages 632–640, Chiang Mai, Thailand, November 2011. Asian Federation of Natural Language Processing. [paper] [bib]
Henning Wachsmuth, Benno Stein, and Gregor Engels. Constructing Efficient Information Extraction Pipelines. In Bettina Berendt et al, editors, 20th ACM International Conference on Information and Knowledge Management (CIKM 11), pages 2237-2240, October 2011. ACM. ISBN 978-1-4503-0717-8. [doi] [paper] [bib]
Henning Wachsmuth, Peter Prettenhofer, and Benno Stein. Efficient Statement Identification for Automatic Market Forecasting. In Chu-Ren Huang and Dan Jurafsky, editors, 23rd International Conference on Computational Linguistics (COLING 10), pages 1128-1136, Stroudsburg, Pennsylvania, August 2010. Association for Computational Linguistics. [publisher] [paper] [bib]
Stephan Arens, Alexander Buss, Helena Deck, Miroslaw Dynia, Matthias Fischer, Holger Hagedorn, Peter Isaak, Jaroslaw Kutylowski, Friedhelm Meyer auf der Heide, Viktor Nesterow, Adrian Ogiermann, Boris Stobbe, Thomas Storm, and Henning Wachsmuth. Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, pages 215–222, Buenos Aires, Argentina, October 2007. Heinz Nixdorf Institut, University of Paderborn. [paper] [bib]