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121 Publications
2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument Retrieval.” In CEUR Workshop Proceedings, 2696:384–95, 2020.
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2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6739–45, 2020.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff, Roxanne, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 553–64, 2020.
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2020 | Conference Paper | LibreCat-ID: 21174
Alexandrovsky, Dmitry, Georg Volkmar, Maximilian Spliethöver, Stefan Finke, Marc Herrlich, Tanja Döring, Jan David Smeddinck, and Rainer Malaka. “Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy.” In Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 32–45. CHI PLAY’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3410404.3414222.
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2020 | Conference Paper | LibreCat-ID: 7283
Alshomary, Milad, Nick Düsterhus, and Henning Wachsmuth. “Extractive Snippet Generation for Arguments.” In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 1969–72, 2020.
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2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib, Khalid, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, and Benno Stein. “End-to-End Argumentation Knowledge Graph Construction.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 7367–74, 2020.
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2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko, Alexander, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, and Benno Stein. “Touché: First Shared Task on Argument Retrieval.” In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 517–23, 2020.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel, Johannes, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 53–62, 2020.
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2020 | Journal Article | LibreCat-ID: 10330
Kiesel, Dora, Patrick Riehmann, Henning Wachsmuth, Benno Stein, and Bernd Fröhlich. “Visual Analysis of Argumentation in Essays.” IEEE Transactions of Visualization & Computer Graphics 27, no. 2 (n.d.): 1139–48.
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2020 | Conference Paper | LibreCat-ID: 3776
Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–54, 2020.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–41, 2020.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020, 1309–19, 2020.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020.
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2020 | Conference Paper | LibreCat-ID: 20141 | 
Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from the Web.” In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–30, 2020. https://doi.org/10.1145/3340531.3412763.
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2019 | Conference Paper | LibreCat-ID: 21177 |
Spliethöver, Maximilian, Jonas Klaff, and Hendrik Heuer. “Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation.” In Proceedings of the 6th Workshop on Argument Mining, 74–82. Florence, Italy: Association for Computational Linguistics, 2019. https://doi.org/10.18653/v1/W19-4509.
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2019 | Report | LibreCat-ID: 16847 |
Skitalinskaya, Gabriella, Jonas Klaff, and Maximilian Spliethöver. CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction. Vol. 2380. CEUR Workshop Proceedings. Lugano, Switzerland, 2019.
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2019 | Conference Paper | LibreCat-ID: 11709
Potthast, Martin, 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), 1117–20. ACM, 2019. https://doi.org/10.1145/3331184.3331327.
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2019 | Book Review | LibreCat-ID: 11713
Wachsmuth, Henning. “Book Review: Argumentation Mining.” Computational Linguistics. ACL, 2019.
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2019 | Conference Paper | LibreCat-ID: 11714
Ajjour, Yamen, Henning Wachsmuth, Johannes Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. “Data Acquisition for Argument Search: The Args.Me Corpus.” In Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence, 48–59, 2019.
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