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121 Publications
2023 | Conference Paper | LibreCat-ID: 34083
Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment Feedback Comment Generation.” Proceedings of the 16th International Natural Language Generation Conference.
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2023 | Book Chapter | LibreCat-ID: 45882 | 
Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:10.5281/zenodo.8068456.
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2023 | Book | LibreCat-ID: 45863 |
Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797.
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2022 | Conference Paper | LibreCat-ID: 30840
Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–97.
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2022 | Conference Paper | LibreCat-ID: 33004
Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain.” Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–54.
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2022 | Journal Article | LibreCat-ID: 34049
Lauscher, Anne, et al. “On the Role of Knowledge in Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.
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2022 | Conference Paper | LibreCat-ID: 22157
Kiesel, Johannes, et al. “Identifying the Human Values behind Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–71.
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2022 | Conference Paper | LibreCat-ID: 34047
Spliethöver, Maximilian, et al. “No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media.” Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022.
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2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
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2022 | Book Chapter | LibreCat-ID: 34077
Bondarenko, Alexander, et al. “Overview of Touché 2022: Argument Retrieval.” 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: 34051
Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” Proceedings of the 9th Workshop on Argument Mining, International Conference on Computational Linguistics, 2022, pp. 111–114.
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2022 | Conference Paper | LibreCat-ID: 34082
Stahl, Maja, et al. “To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation.” Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science.
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2022 | Conference Paper | LibreCat-ID: 33274
Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
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2022 | Conference Paper | LibreCat-ID: 32247
Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.” Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31, doi:http://dx.doi.org/10.3233/FAIA220138.
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| DOI
2022 | Conference Abstract | LibreCat-ID: 31068
Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022.
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2022 | Mastersthesis | LibreCat-ID: 29000
Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing. 2022.
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks. 2022.
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2022 | Mastersthesis | LibreCat-ID: 45789
Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames. 2022.
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2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–29.
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2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko, Alexander, et al. “Overview of Touché 2021: Argument Retrieval.” Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 2021, pp. 384–95.
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2021 | Conference Paper | LibreCat-ID: 23708 |
Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 2021, pp. 165–75.
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2021 | Conference Paper | LibreCat-ID: 22156 |
Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–59, doi:10.24963/ijcai.2021/77.
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2021 | Conference Paper | LibreCat-ID: 22158 |
Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative Texts.” 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, pp. 3482–93.
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2021 | Conference Paper | LibreCat-ID: 22159 |
Barrow, Joe, et al. “Syntopical Graphs for Computational Argumentation Tasks.” 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, pp. 1583–95.
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2021 | Conference Paper | LibreCat-ID: 22160
Al-Khatib, Khalid, et al. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.” 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, pp. 4744–54.
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2021 | Conference Paper | LibreCat-ID: 22448
Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.
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2021 | Journal Article | LibreCat-ID: 22449
Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument Generation.” Patterns, vol. 2, no. 6, 2021.
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2021 | Conference Paper | LibreCat-ID: 25297
Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–89.
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2021 | Conference Paper | LibreCat-ID: 25294
Nouri, Zahra, et al. “IClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.” 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, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.
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2021 | Conference Paper | LibreCat-ID: 21178
Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.
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2021 | Conference Paper | LibreCat-ID: 23709
Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.
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2021 | Conference Paper | LibreCat-ID: 22229
Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” 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), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.
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2021 | Mastersthesis | LibreCat-ID: 45788
Bülling, Jonas. 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, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models. 2021.
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, 2021, pp. 717–28, doi:10.1109/tcds.2020.3044366.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri, Zahra, et al. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, pp. 6264–76.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff, Roxanne, et al. “Persuasiveness of News Editorials Depending on Ideology and Personality.” 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 |
Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29.
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2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko, Alexander, et al. “Overview of Touché 2020: Argument Retrieval.” CEUR Workshop Proceedings, vol. 2696, 2020, pp. 384–95.
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2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 2020, pp. 6739–45.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff, Roxanne, et al. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 2020, pp. 553–64.
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2020 | Conference Paper | LibreCat-ID: 21174
Alexandrovsky, Dmitry, et al. “Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy.” Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Association for Computing Machinery, 2020, pp. 32–45, doi:10.1145/3410404.3414222.
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2020 | Conference Paper | LibreCat-ID: 7283
Alshomary, Milad, et al. “Extractive Snippet Generation for Arguments.” Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–72.
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2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib, Khalid, et al. “End-to-End Argumentation Knowledge Graph Construction.” Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–74.
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2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko, Alexander, et al. “Touché: First Shared Task on Argument Retrieval.” Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–23.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel, Johannes, et al. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” 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
Kiesel, Dora, et al. “Visual Analysis of Argumentation in Essays.” IEEE Transactions of Visualization & Computer Graphics, vol. 27, no. 2, pp. 1139–48.
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2020 | Conference Paper | LibreCat-ID: 3776
Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–54.
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