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109 Publications
2022 | Conference Paper | LibreCat-ID: 30840
Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:8782-8797.
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2022 | Conference Paper | LibreCat-ID: 33004
Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain. In: Proceedings of the 29th International Conference on Computational Linguistics. ; 2022:344-354.
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2022 | Journal Article | LibreCat-ID: 34049
Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics. Published online 2022.
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2022 | Conference Paper | LibreCat-ID: 22157
Kiesel J, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying the Human Values behind Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:4459-4471.
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2022 | Conference Paper | LibreCat-ID: 34047
Spliethöver M, Keiff M, Wachsmuth H. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics; 2022.
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| arXiv
2022 | Conference Paper | LibreCat-ID: 34067
Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: Proceedings of the 2022 Workshop on Figurative Language Processing. ; 2022.
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2022 | Book Chapter | LibreCat-ID: 34077
Bondarenko A, Fröbe M, Kiesel J, et al. Overview of Touché 2022: Argument Retrieval. In: Lecture Notes in Computer Science. Springer International Publishing; 2022. doi:10.1007/978-3-030-99739-7_43
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| DOI
2022 | Conference Paper | LibreCat-ID: 33274
Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022). ; 2022:51-61.
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2022 | Conference Paper | LibreCat-ID: 32247
Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In: Proceedings of the 9th International Conference on Computational Models of Argument. ; 2022:21-31. doi:http://dx.doi.org/10.3233/FAIA220138
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| DOI
2022 | Conference Abstract | LibreCat-ID: 31068
Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: EUROCALL. ; 2022.
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2022 | Mastersthesis | LibreCat-ID: 29000
Ahmed M. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing.; 2022.
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks.; 2022.
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2022 | Mastersthesis | LibreCat-ID: 45789
Budanurmath V. Propaganda Technique Detection Using Connotation Frames.; 2022.
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2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya G, Klaff J, Wachsmuth H. Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics. ; 2021:1718-1729.
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2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument Retrieval. In: Proceedings of the 43rd Annual European Conference on Information Retrieval Research. ; 2021:384-395.
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2021 | Conference Paper | LibreCat-ID: 23708 | 
Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. In: Proceedings of the 32nd ACM Conference on Hypertext and Social Media. ; 2021:165-175.
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2021 | Conference Paper | LibreCat-ID: 22156 |
Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. ; 2021:552-559. doi:10.24963/ijcai.2021/77
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2021 | Conference Paper | LibreCat-ID: 22158 |
Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. 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): Findings. ; 2021:3482-3493.
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2021 | Conference Paper | LibreCat-ID: 22159 |
Barrow J, Jain R, Lipka N, et al. Syntopical Graphs for Computational Argumentation Tasks. 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). ; 2021:1583-1595.
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2021 | Conference Paper | LibreCat-ID: 22160
Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. Employing Argumentation Knowledge Graphs for Neural Argument Generation. 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). ; 2021:4744-4754.
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2021 | Conference Paper | LibreCat-ID: 22448
Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. In: Proceedings of the 2021 Conversational User Interfaces Conference. ; 2021:1-5.
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2021 | Conference Paper | LibreCat-ID: 25297
Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:184-189.
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2021 | Conference Paper | LibreCat-ID: 25294
Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021. ; 2021.
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2021 | Conference Paper | LibreCat-ID: 25295
Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:67-77.
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2021 | Conference Paper | LibreCat-ID: 21178
Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Association for Computational Linguistics; 2021:224-223.
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2021 | Conference Paper | LibreCat-ID: 23709
Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: Findings of the Association for Computational Linguistics: EMNLP 2021. ; 2021:2683-2693.
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2021 | Conference Paper | LibreCat-ID: 22229
Alshomary M, Syed S, Potthast M, Wachsmuth H. 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). Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159
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2021 | Mastersthesis | LibreCat-ID: 45788
Bülling J. 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
Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence Models.; 2021.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; :6264-6276.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff R, Al-Khatib K, Stein B, Wachsmuth H. 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). ; 2020:29-40.
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2020 | Conference Paper | LibreCat-ID: 20139 |
Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social Bias in Argumentation. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:76-87.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:19-29.
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2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.
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2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; 2020:6739-6745.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. ; 2020:553-564.
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2020 | Conference Paper | LibreCat-ID: 7283
Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ; 2020:1969-1972.
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2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation Knowledge Graph Construction. In: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). ; 2020:7367-7374.
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2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko A, Hagen M, Potthast M, et al. Touché: First Shared Task on Argument Retrieval. In: Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020). ; 2020:517-523.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel J, Lang K, Wachsmuth H, Hornecker E, Stein B. 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). ; 2020:53-62.
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2020 | Journal Article | LibreCat-ID: 10330
Kiesel D, Riehmann P, Wachsmuth H, Stein B, Fröhlich B. Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization & Computer Graphics. 27(2):1139-1148.
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2020 | Conference Paper | LibreCat-ID: 3776
Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. 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. ; 2020:149-154.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In: Findings of the Association for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345.
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2019 | Conference Paper | LibreCat-ID: 11709
Potthast M, Gienapp L, Euchner F, et al. Argument Search: Assessing Argument Relevance. In: 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019). ACM; 2019:1117-1120. doi:10.1145/3331184.3331327
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2019 | Book Review | LibreCat-ID: 11713
Wachsmuth H. Book Review: Argumentation Mining. Computational Linguistics. 2019;45(3):603-606.
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2019 | Conference Paper | LibreCat-ID: 11714
Ajjour Y, Wachsmuth H, Kiesel J, Potthast M, Hagen M, Stein B. Data Acquisition for Argument Search: The args.me Corpus. In: Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence. ; 2019:48-59.
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2019 | Conference Paper | LibreCat-ID: 12931
Ajjour Y, Alshomary M, Wachsmuth H, Stein B. 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. ; 2019:2915-2925.
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