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109 Publications
2021 | Conference Paper | LibreCat-ID: 22448
J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases,” in Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.
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2021 | Conference Paper | LibreCat-ID: 25297
M. Alshomary et al., “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.
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2021 | Conference Paper | LibreCat-ID: 25294
Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.
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2021 | Conference Paper | LibreCat-ID: 25295
T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments through Conclusion Generation,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.
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2021 | Conference Paper | LibreCat-ID: 21178
M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Online, 2021, pp. 224–223.
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2021 | Conference Paper | LibreCat-ID: 23709
W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural Sentence-Level Reframing of News Articles,” in Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.
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2021 | Conference Paper | LibreCat-ID: 22229
M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of the 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), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.
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2021 | Mastersthesis | LibreCat-ID: 45788
J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.
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2021 | Mastersthesis | LibreCat-ID: 45787
A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence Models. 2021.
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2020 | Conference Paper | LibreCat-ID: 20116
Z. Nouri, H. Wachsmuth, and G. Engels, “Mining Crowdsourcing Problems from Discussion Forums of Workers,” in Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, Barcelona, Spain, pp. 6264–6276.
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2020 | Conference Paper | LibreCat-ID: 20122
R. El Baff, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Persuasiveness of News Editorials depending on Ideology and Personality,” in Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40.
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2020 | Conference Paper | LibreCat-ID: 20139 | 
M. Spliethöver and H. Wachsmuth, “Argument from Old Man’s View: Assessing Social Bias in Argumentation,” in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.
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2020 | Conference Paper | LibreCat-ID: 20140
J. Dorsch and H. Wachsmuth, “Semi-Supervised Cleansing of Web Argument Corpora,” in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29.
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2020 | Conference Paper | LibreCat-ID: 20166
A. Bondarenko et al., “Overview of Touché 2020: Argument Retrieval,” in CEUR Workshop Proceedings, 2020, vol. 2696, pp. 384–395.
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2020 | Conference Paper | LibreCat-ID: 3800
H. Wachsmuth and T. Werner, “Intrinsic Quality Assessment of Arguments,” in Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 2020, pp. 6739–6745.
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2020 | Conference Paper | LibreCat-ID: 3878
R. El Baff, H. Wachsmuth, K. Al-Khatib, and B. Stein, “Analyzing the Persuasive Effect of Style in News Editorial Argumentation,” in Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, 2020, pp. 553–564.
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2020 | Conference Paper | LibreCat-ID: 7283
M. Alshomary, N. Düsterhus, and H. Wachsmuth, “Extractive Snippet Generation for Arguments,” in Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi’an, China, 2020, pp. 1969–1972.
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2020 | Conference Paper | LibreCat-ID: 15820
K. Al-Khatib, Y. Hou, H. Wachsmuth, C. Jochim, F. Bonin, and B. Stein, “End-to-End Argumentation Knowledge Graph Construction,” in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–7374.
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2020 | Conference Paper | LibreCat-ID: 15821
A. Bondarenko et al., “Touché: First Shared Task on Argument Retrieval,” in Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–523.
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2020 | Conference Paper | LibreCat-ID: 15825
J. Kiesel, K. Lang, H. Wachsmuth, E. Hornecker, and B. 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), 2020, pp. 53–62.
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2020 | Journal Article | LibreCat-ID: 10330
D. Kiesel, P. Riehmann, H. Wachsmuth, B. Stein, and B. Fröhlich, “Visual Analysis of Argumentation in Essays,” IEEE Transactions of Visualization & Computer Graphics, vol. 27, no. 2, pp. 1139–1148.
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2020 | Conference Paper | LibreCat-ID: 3776
W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. 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, 2020, pp. 149–154.
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2020 | Conference Paper | LibreCat-ID: 20137
S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.
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2020 | Conference Paper | LibreCat-ID: 3818
W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias in News Articles using Gaussian Bias Distributions,” in Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.
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2020 | Conference Paper | LibreCat-ID: 15826
W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet Generation,” in Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.
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2020 | Conference Paper | LibreCat-ID: 16868
M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in Argument Conclusion Generation,” in Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020, pp. 4334–4345.
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2019 | Conference Paper | LibreCat-ID: 11709
M. Potthast et al., “Argument Search: Assessing Argument Relevance,” in 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019, pp. 1117–1120.
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2019 | Book Review | LibreCat-ID: 11713
H. Wachsmuth, “Book Review: Argumentation Mining,” Computational Linguistics, vol. 45, no. 3. ACL, pp. 603–606, 2019.
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2019 | Conference Paper | LibreCat-ID: 11714
Y. Ajjour, H. Wachsmuth, J. Kiesel, M. Potthast, M. Hagen, and B. Stein, “Data Acquisition for Argument Search: The args.me Corpus,” in Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence, 2019, pp. 48–59.
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2019 | Conference Paper | LibreCat-ID: 12931
Y. Ajjour, M. Alshomary, H. Wachsmuth, and B. Stein, “Modeling Frames in Argumentation,” in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019, pp. 2915–2925.
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2019 | Conference (Editor) | LibreCat-ID: 15235
B. Stein and H. Wachsmuth, Eds., Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics, 2019.
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2019 | Conference Paper | LibreCat-ID: 13144
R. El Baff, H. Wachsmuth, K. Al-Khatib, M. Stede, and B. Stein, “Computational Argumentation Synthesis as a Language Modeling Task,” in Proceedings of the 12th International Conference on Natural Language Generation, Tokyo, Japan, 2019, pp. 54–64.
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2019 | Conference Paper | LibreCat-ID: 10284
M. Alshomary et al., “Wikipedia Text Reuse: Within and Without,” in Advances in Information Retrieval, 2019, pp. 747–754.
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2019 | Conference Paper | LibreCat-ID: 13259
W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, and B. Stein, “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition,” in Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82.
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2018 | Conference Paper | LibreCat-ID: 20188
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants,” in Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018, pp. 1930–1940.
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2018 | Conference Paper | LibreCat-ID: 3804
K. Al Khatib, H. Wachsmuth, K. Lang, J. Herpel, M. Hagen, and B. Stein, “Modeling Deliberative Argumentation Strategies on Wikipedia,” in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 2545–2555.
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2018 | Conference Paper | LibreCat-ID: 3806
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation,” in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018, pp. 386–396.
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2018 | Conference Paper | LibreCat-ID: 3807
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “SemEval-2018 Task 12: The Argument Reasoning Comprehension Task,” in Proceedings of The 12th International Workshop on Semantic Evaluation, 2018, pp. 763–772.
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2018 | Conference Paper | LibreCat-ID: 3821
H. Wachsmuth, S. Syed, and B. Stein, “Retrieval of the Best Counterargument without Prior Topic Knowledge,” in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 241–251.
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2018 | Conference Paper | LibreCat-ID: 4236
H. Wachsmuth, M. Stede, R. El Baff, K. Al Khatib, M. Skeppstedt, and B. Stein, “Argumentation Synthesis following Rhetorical Strategies,” in Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–3765.
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2018 | Conference Paper | LibreCat-ID: 11711
Y. Ajjour et al., “Visualization of the Topic Space of Argument Search Results in args. me,” in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2018, pp. 60–65.
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2018 | Conference Paper | LibreCat-ID: 11712
R. El Baff, H. Wachsmuth, K. Al Khatib, and B. Stein, “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus,” in Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018, pp. 454–464.
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2018 | Journal Article | LibreCat-ID: 14886
W.-F. Chen and L.-W. Ku, “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling,” IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 10, pp. 2013–2023, 2018.
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2018 | Journal Article | LibreCat-ID: 14887
M.-H. Chen, W.-F. Chen, and L.-W. Ku, “Application of Sentiment Analysis to Language Learning,” IEEE Access, vol. 6, pp. 24433–24442, 2018.
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2018 | Journal Article | LibreCat-ID: 14888
Chen W.-F. and Ku L.-W., “中文情感語意分析套件 CSentiPackage 發展與應用,” 圖書館學與資訊科學, 2018.
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2018 | Journal Article | LibreCat-ID: 10331
J. Kiesel, F. Kneist, M. Alshomary, B. Stein, M. Hagen, and M. Potthast, “Reproducible Web Corpora,” Journal of Data and Information Quality, pp. 1–25, 2018.
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2018 | Conference Paper | LibreCat-ID: 11710
W.-F. Chen, H. Wachsmuth, K. Al Khatib, and B. Stein, “Learning to Flip the Bias of News Headlines,” in Proceedings of the 11th International Conference on Natural Language Generation, 2018, pp. 79–88.
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2018 | Conference Paper | LibreCat-ID: 14873
W.-F. Chen, M. Hagen, B. Stein, and M. Potthast, “A User Study on Snippet Generation: Text Reuse vs. Paraphrases,” in Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–1036.
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2018 | Conference Paper | LibreCat-ID: 14885
M. Potthast, W.-F. Chen, M. Hagen, and B. Stein, “A Plan for Ancillary Copyright: Original Snippets.,” in Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.
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2017 | Conference Paper | LibreCat-ID: 3751
Y. Ajjour, W.-F. Chen, J. Kiesel, H. Wachsmuth, and B. Stein, “Unit Segmentation of Argumentative Texts,” in Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 118–128.
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