Sengupta, M., El Baff, R., Alshomary, M., &; Wachsmuth, H. (2024). Analyzing the Use of Metaphors in News Editorials for Political Framing. In K. Duh, H. Gomez, &; S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 3621–3631). Association for Computational Linguistics.
LibreCat: /record/55338

Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P., &; Wachsmuth, H. (2024). Modeling the Quality of Dialogical Explanations. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, &; N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 11523–11536). ELRA and ICCL.
LibreCat: /record/55404

Sengupta, M., Alshomary, M., Scharlau, I., &; Wachsmuth, H. (2023). Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In H. Bouamor, J. Pino, &; K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 4636–4659). Association for Computational Linguistics.https://doi.org/10.18653/v1/2023.findings-emnlp.308 
LibreCat: /record/55406
DOI: 10.18653/v1/2023.findings-emnlp.308

Alshomary, M., El Baff, R., Gurcke, T., &; Wachsmuth, H. (2022). 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, 8782–8797.
LibreCat: /record/30840

Wachsmuth, H., &; Alshomary, M. (2022). “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, 344–354.
LibreCat: /record/33004

Lauscher, A., Wachsmuth, H., Gurevych, I., &; Glavas, G. (2022). On the Role of Knowledge in  Computational Argumentation. Transactions of the Association for Computational Linguistics.
LibreCat: /record/34049

Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., &; Stein, B. (2022). Identifying the Human Values behind Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–4471.
LibreCat: /record/22157

Spliethöver, M., Keiff, M., &; Wachsmuth, H. (2022). 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). The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi.
LibreCat: /record/34047
arXiv: 2211.03634

Bondarenko, A., Fröbe, M., Kiesel, J., Syed, S., Gurcke, T., Beloucif, M., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M., &; Hagen, M. (2022). Overview of Touché 2022: Argument Retrieval. In Lecture Notes in Computer Science. Springer International Publishing.https://doi.org/10.1007/978-3-030-99739-7_43 
LibreCat: /record/34077
DOI: 10.1007/978-3-030-99739-7_43

Chen, W.-F., Chen, M.-H., Mudgal, G., &; Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61.
LibreCat: /record/33274

Alshomary, M., Rieskamp, J., &; Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. Proceedings of the 9th International Conference on Computational Models of Argument, 21–31.http://dx.doi.org/10.3233/FAIA220138 
LibreCat: /record/32247
DOI: http://dx.doi.org/10.3233/FAIA220138

Chen, M.-H., Mudgal, G., Chen, W.-F., &; Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL.
LibreCat: /record/31068

Wachsmuth, H., &; Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, &; S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics (pp. 344–354). International Committee on Computational Linguistics.
LibreCat: /record/55337

Sengupta, M., Alshomary, M., &; Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 2022 Workshop on Figurative Language Processing.
LibreCat: /record/34067

Ahmed, M. (2022). Knowledge Base Enhanced &; User-centric Dialogue Design for OTF Computing.
LibreCat: /record/29000

Palushi, J. (2022). Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks.
LibreCat: /record/45790

Budanurmath, V. (2022). Propaganda Technique Detection Using Connotation Frames.
LibreCat: /record/45789

Skitalinskaya, G., Klaff, J., &; Wachsmuth, H. (2021). 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 (pp. 1718–1729).
LibreCat: /record/20115

Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A.,  Hagen, M. (2021). Overview of Touché 2021: Argument Retrieval. In Proceedings of the 43rd annual European Conference on Information Retrieval Research (pp. 384–395).
LibreCat: /record/3774

Nouri, Z., Gadiraju, U., Engels, G., &; Wachsmuth, H. (2021). What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 165–175.
LibreCat: /record/23708

Spliethöver, M., &; Wachsmuth, H. (2021). 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, 552–559.https://doi.org/10.24963/ijcai.2021/77 
LibreCat: /record/22156
DOI: 10.24963/ijcai.2021/77

Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., &; Potthast, M. (2021). 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, 3482–3493.
LibreCat: /record/22158

Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha, V., Oard, D., Resnik, P., &; Wachsmuth, H. (2021). 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), 1583–1595.
LibreCat: /record/22159

Al-Khatib, K., Trautner, L., Wachsmuth, H., Hou, Y., &; Stein, B. (2021). 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), 4744–4754.
LibreCat: /record/22160

Kiesel, J., Spina, D., Wachsmuth, H., &; Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. Proceedings of the 2021 Conversational User Interfaces Conference, 1–5.
LibreCat: /record/22448

Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., &; Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop on Argument Mining, 184–189.
LibreCat: /record/25297

Nouri, Z., Prakash, N., Gadiraju, U., &; Wachsmuth, H. (2021). 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.
LibreCat: /record/25294

Gurcke, T., Alshomary, M., &; Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. Proceedings of the 8th Workshop on Argument Mining, 67–77.
LibreCat: /record/25295

Alshomary, M., Chen, W.-F., Gurcke, T., &; Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223.
LibreCat: /record/21178

Chen, W.-F., Al Khatib, K., Stein, B., &; Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.
LibreCat: /record/23709

Alshomary, M., Syed, S., Potthast, M., &; Wachsmuth, H. (2021). 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), 1816–1827.https://doi.org/10.18653/v1/2021.findings-acl.159 
LibreCat: /record/22229
DOI: 10.18653/v1/2021.findings-acl.159

Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.
LibreCat: /record/45788

Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence Models.
LibreCat: /record/45787

Nouri, Z., Wachsmuth, H., &; Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6264–6276). Barcelona, Spain.
LibreCat: /record/20116

El Baff, R., Al-Khatib, K., Stein, B., &; Wachsmuth, H. (2020). 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) (pp. 29–40).
LibreCat: /record/20122

Spliethöver, M., &; Wachsmuth, H. (2020). Argument from Old Man’s View: Assessing Social Bias in Argumentation. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 76–87).
LibreCat: /record/20139

Dorsch, J., &; Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument Corpora. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 19–29).
LibreCat: /record/20140

Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A.,  Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In CEUR Workshop Proceedings (Vol. 2696, pp. 384–395).
LibreCat: /record/20166

Wachsmuth, H., &; Werner, T. (2020). Intrinsic Quality Assessment of Arguments. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6739–6745).
LibreCat: /record/3800

El Baff, R., Wachsmuth, H., Al-Khatib, K., &; Stein, B. (2020). Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In J. Tsujii &; J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (pp. 553–564).
LibreCat: /record/3878

Alshomary, M., Düsterhus, N., &; Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1969–1972). Xi’an, China.
LibreCat: /record/7283

Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., &; Stein, B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) (pp. 7367–7374).
LibreCat: /record/15820

Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C.,  Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020) (pp. 517–523).
LibreCat: /record/15821

Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., &; Stein, B. (2020). 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) (pp. 53–62).
LibreCat: /record/15825

Kiesel, D., Riehmann, P., Wachsmuth, H., Stein, B., &; Fröhlich, B. (n.d.). Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization &; Computer Graphics, 27(2), 1139–1148.
LibreCat: /record/10330

Chen, W.-F., Al-Khatib, K., Wachsmuth, H., &; Stein, B. (2020). 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, 149–154.
LibreCat: /record/3776

Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &; Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
LibreCat: /record/20137

Chen, W.-F., Al-Khatib, K., Stein, B., &; Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
LibreCat: /record/3818

Chen, W.-F., Syed, S., Stein, B., Hagen, M., &; Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
LibreCat: /record/15826

Alshomary, M., Syed, S., Potthast, M., &; Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.
LibreCat: /record/16868