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115 Publications
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 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 | Conference Paper | LibreCat-ID: 55337
Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In: Calzolari N, Huang C-R, Kim H, et al., eds. Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics; 2022:344–354.
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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 | 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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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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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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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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