[{"status":"public","editor":[{"full_name":"Duh, Kevin","last_name":"Duh","first_name":"Kevin"},{"first_name":"Helena","full_name":"Gomez, Helena","last_name":"Gomez"},{"first_name":"Steven","full_name":"Bethard, Steven","last_name":"Bethard"}],"abstract":[{"lang":"eng","text":"Metaphorical language is a pivotal element inthe realm of political framing. Existing workfrom linguistics and the social sciences providescompelling evidence regarding the distinctivenessof conceptual framing for politicalideology perspectives. However, the nature andutilization of metaphors and the effect on audiencesof different political ideologies withinpolitical discourses are hardly explored. Toenable research in this direction, in this workwe create a dataset, originally based on newseditorials and labeled with their persuasive effectson liberals and conservatives and extend itwith annotations pertaining to metaphorical usageof language. To that end, first, we identifyall single metaphors and composite metaphors.Secondly, we provide annotations of the sourceand target domains for each metaphor. As aresult, our corpus consists of 300 news editorialsannotated with spans of texts containingmetaphors and the corresponding domains ofwhich these metaphors draw from. Our analysisshows that liberal readers are affected bymetaphors, whereas conservatives are resistantto them. Both ideologies are affected differentlybased on the metaphor source and targetcategory. For example, liberals are affected bymetaphors in the Darkness {&} Light (e.g., death)source domains, where as the source domain ofNature affects conservatives more significantly."}],"publication":"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"600"},{"_id":"660"}],"user_id":"3900","_id":"55338","project":[{"name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens","_id":"127"}],"page":"3621–3631","citation":{"ama":"Sengupta M, El Baff R, Alshomary M, Wachsmuth H. Analyzing the Use of Metaphors in News Editorials for Political Framing. In: Duh K, Gomez H, Bethard S, eds. <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>. Association for Computational Linguistics; 2024:3621–3631.","ieee":"M. Sengupta, R. El Baff, M. Alshomary, and H. Wachsmuth, “Analyzing the Use of Metaphors in News Editorials for Political Framing,” in <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, 2024, pp. 3621–3631.","chicago":"Sengupta, Meghdut, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” In <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, edited by Kevin Duh, Helena Gomez, and Steven Bethard, 3621–3631. Mexico City, Mexico: Association for Computational Linguistics, 2024.","bibtex":"@inproceedings{Sengupta_El Baff_Alshomary_Wachsmuth_2024, place={Mexico City, Mexico}, title={Analyzing the Use of Metaphors in News Editorials for Political Framing}, booktitle={Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)}, publisher={Association for Computational Linguistics}, author={Sengupta, Meghdut and El Baff, Roxanne and Alshomary, Milad and Wachsmuth, Henning}, editor={Duh, Kevin and Gomez, Helena and Bethard, Steven}, year={2024}, pages={3621–3631} }","short":"M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, 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), Association for Computational Linguistics, Mexico City, Mexico, 2024, pp. 3621–3631.","mla":"Sengupta, Meghdut, et al. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, edited by Kevin Duh et al., Association for Computational Linguistics, 2024, pp. 3621–3631.","apa":"Sengupta, M., El Baff, R., Alshomary, M., &#38; Wachsmuth, H. (2024). Analyzing the Use of Metaphors in News Editorials for Political Framing. In K. Duh, H. Gomez, &#38; S. Bethard (Eds.), <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i> (pp. 3621–3631). Association for Computational Linguistics."},"year":"2024","place":"Mexico City, Mexico","title":"Analyzing the Use of Metaphors in News Editorials for Political Framing","author":[{"first_name":"Meghdut","last_name":"Sengupta","full_name":"Sengupta, Meghdut","id":"99459"},{"full_name":"El Baff, Roxanne","last_name":"El Baff","first_name":"Roxanne"},{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"date_created":"2024-07-22T13:08:12Z","publisher":"Association for Computational Linguistics","date_updated":"2024-07-26T13:02:57Z"},{"publication":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","type":"conference","abstract":[{"text":"Explanations are pervasive in our lives. Mostly, they occur in dialogical form where an explainer discusses a concept or phenomenon of interest with an explainee. Leaving the explainee with a clear understanding is not straightforward due to the knowledge gap between the two participants. Previous research looked at the interaction of explanation moves, dialogue acts, and topics in successful dialogues with expert explainers. However, daily-life explanations often fail, raising the question of what makes a dialogue successful. In this work, we study explanation dialogues in terms of the interactions between the explainer and explainee and how they correlate with the quality of explanations in terms of a successful understanding on the explainee{’}s side. In particular, we first construct a corpus of 399 dialogues from the Reddit forum {Explain Like I am Five} and annotate it for interaction flows and explanation quality. We then analyze the interaction flows, comparing them to those appearing in expert dialogues. Finally, we encode the interaction flows using two language models that can handle long inputs, and we provide empirical evidence for the effectiveness boost gained through the encoding in predicting the success of explanation dialogues.","lang":"eng"}],"editor":[{"first_name":"Nicoletta","last_name":"Calzolari","full_name":"Calzolari, Nicoletta"},{"first_name":"Min-Yen","full_name":"Kan, Min-Yen","last_name":"Kan"},{"first_name":"Veronique","last_name":"Hoste","full_name":"Hoste, Veronique"},{"first_name":"Alessandro","last_name":"Lenci","full_name":"Lenci, Alessandro"},{"first_name":"Sakriani","last_name":"Sakti","full_name":"Sakti, Sakriani"},{"first_name":"Nianwen","last_name":"Xue","full_name":"Xue, Nianwen"}],"status":"public","_id":"55404","project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"department":[{"_id":"600"},{"_id":"660"}],"user_id":"67893","language":[{"iso":"eng"}],"quality_controlled":"1","year":"2024","place":"Torino, Italia","page":"11523–11536","citation":{"bibtex":"@inproceedings{Alshomary_Lange_Booshehri_Sengupta_Cimiano_Wachsmuth_2024, place={Torino, Italia}, title={Modeling the Quality of Dialogical Explanations}, booktitle={Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, publisher={ELRA and ICCL}, author={Alshomary, Milad and Lange, Felix and Booshehri, Meisam and Sengupta, Meghdut and Cimiano, Philipp and Wachsmuth, Henning}, editor={Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen}, year={2024}, pages={11523–11536} }","mla":"Alshomary, Milad, et al. “Modeling the Quality of Dialogical Explanations.” <i>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</i>, edited by Nicoletta Calzolari et al., ELRA and ICCL, 2024, pp. 11523–11536.","short":"M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, H. Wachsmuth, 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), ELRA and ICCL, Torino, Italia, 2024, pp. 11523–11536.","apa":"Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P., &#38; Wachsmuth, H. (2024). Modeling the Quality of Dialogical Explanations. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, &#38; N. Xue (Eds.), <i>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</i> (pp. 11523–11536). ELRA and ICCL.","ama":"Alshomary M, Lange F, Booshehri M, Sengupta M, Cimiano P, Wachsmuth H. Modeling the Quality of Dialogical Explanations. In: Calzolari N, Kan M-Y, Hoste V, Lenci A, Sakti S, Xue N, eds. <i>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</i>. ELRA and ICCL; 2024:11523–11536.","ieee":"M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, and H. Wachsmuth, “Modeling the Quality of Dialogical Explanations,” in <i>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</i>, 2024, pp. 11523–11536.","chicago":"Alshomary, Milad, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp Cimiano, and Henning Wachsmuth. “Modeling the Quality of Dialogical Explanations.” In <i>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</i>, edited by Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, 11523–11536. Torino, Italia: ELRA and ICCL, 2024."},"date_updated":"2024-12-17T11:30:25Z","publisher":"ELRA and ICCL","date_created":"2024-07-26T13:04:25Z","author":[{"last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad","first_name":"Milad"},{"first_name":"Felix","id":"67893","full_name":"Lange, Felix","last_name":"Lange"},{"first_name":"Meisam","full_name":"Booshehri, Meisam","last_name":"Booshehri"},{"full_name":"Sengupta, Meghdut","id":"99459","last_name":"Sengupta","first_name":"Meghdut"},{"last_name":"Cimiano","full_name":"Cimiano, Philipp","first_name":"Philipp"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"title":"Modeling the Quality of Dialogical Explanations"},{"page":"4636–4659","citation":{"mla":"Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, edited by Houda Bouamor et al., Association for Computational Linguistics, 2023, pp. 4636–4659, doi:<a href=\"https://doi.org/10.18653/v1/2023.findings-emnlp.308\">10.18653/v1/2023.findings-emnlp.308</a>.","bibtex":"@inproceedings{Sengupta_Alshomary_Scharlau_Wachsmuth_2023, place={Singapore}, title={Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms}, DOI={<a href=\"https://doi.org/10.18653/v1/2023.findings-emnlp.308\">10.18653/v1/2023.findings-emnlp.308</a>}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023}, publisher={Association for Computational Linguistics}, author={Sengupta, Meghdut and Alshomary, Milad and Scharlau, Ingrid and Wachsmuth, Henning}, editor={Bouamor, Houda and Pino, Juan and Bali, Kalika}, year={2023}, pages={4636–4659} }","short":"M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: H. Bouamor, J. Pino, K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, Singapore, 2023, pp. 4636–4659.","apa":"Sengupta, M., Alshomary, M., Scharlau, I., &#38; Wachsmuth, H. (2023). Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In H. Bouamor, J. Pino, &#38; K. Bali (Eds.), <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i> (pp. 4636–4659). Association for Computational Linguistics. <a href=\"https://doi.org/10.18653/v1/2023.findings-emnlp.308\">https://doi.org/10.18653/v1/2023.findings-emnlp.308</a>","chicago":"Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” In <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association for Computational Linguistics, 2023. <a href=\"https://doi.org/10.18653/v1/2023.findings-emnlp.308\">https://doi.org/10.18653/v1/2023.findings-emnlp.308</a>.","ieee":"M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms,” in <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, 2023, pp. 4636–4659, doi: <a href=\"https://doi.org/10.18653/v1/2023.findings-emnlp.308\">10.18653/v1/2023.findings-emnlp.308</a>.","ama":"Sengupta M, Alshomary M, Scharlau I, Wachsmuth H. Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In: Bouamor H, Pino J, Bali K, eds. <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>. Association for Computational Linguistics; 2023:4636–4659. doi:<a href=\"https://doi.org/10.18653/v1/2023.findings-emnlp.308\">10.18653/v1/2023.findings-emnlp.308</a>"},"year":"2023","place":"Singapore","doi":"10.18653/v1/2023.findings-emnlp.308","title":"Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms","date_created":"2024-07-26T13:09:20Z","author":[{"first_name":"Meghdut","full_name":"Sengupta, Meghdut","id":"99459","last_name":"Sengupta"},{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Ingrid","last_name":"Scharlau","orcid":"0000-0003-2364-9489","full_name":"Scharlau, Ingrid","id":"451"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"publisher":"Association for Computational Linguistics","date_updated":"2024-07-26T13:19:53Z","status":"public","abstract":[{"lang":"eng","text":"Metaphorical language, such as {“}spending time together{”}, projects meaning from a source domain (here, $money$) to a target domain ($time$). Thereby, it highlights certain aspects of the target domain, such as the $effort$ behind the time investment. Highlighting aspects with metaphors (while hiding others) bridges the two domains and is the core of metaphorical meaning construction. For metaphor interpretation, linguistic theories stress that identifying the highlighted aspects is important for a better understanding of metaphors. However, metaphor research in NLP has not yet dealt with the phenomenon of highlighting. In this paper, we introduce the task of identifying the main aspect highlighted in a metaphorical sentence. Given the inherent interaction of source domains and highlighted aspects, we propose two multitask approaches - a joint learning approach and a continual learning approach - based on a finetuned contrastive learning model to jointly predict highlighted aspects and source domains. We further investigate whether (predicted) information about a source domain leads to better performance in predicting the highlighted aspects, and vice versa. Our experiments on an existing corpus suggest that, with the corresponding information, the performance to predict the other improves in terms of model accuracy in predicting highlighted aspects and source domains notably compared to the single-task baselines."}],"editor":[{"last_name":"Bouamor","full_name":"Bouamor, Houda","first_name":"Houda"},{"first_name":"Juan","full_name":"Pino, Juan","last_name":"Pino"},{"first_name":"Kalika","full_name":"Bali, Kalika","last_name":"Bali"}],"publication":"Findings of the Association for Computational Linguistics: EMNLP 2023","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"600"},{"_id":"660"}],"user_id":"3900","_id":"55406","project":[{"_id":"127","name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens"}]},{"language":[{"iso":"eng"}],"project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"_id":"58723","user_id":"3900","department":[{"_id":"600"},{"_id":"660"}],"abstract":[{"text":"In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. Existing work on the automatic generation of natural language counter-arguments does not address the relation to the conclusion, possibly because many arguments leave their conclusion implicit. In this paper, we hypothesize that the key to effective counter-argument generation is to explicitly model the argument‘s conclusion and to ensure that the stance of the generated counter is opposite to that conclusion. In particular, we propose a multitask approach that jointly learns to generate both the conclusion and the counter of an input argument. The approach employs a stance-based ranking component that selects the counter from a diverse set of generated candidates whose stance best opposes the generated conclusion. In both automatic and manual evaluation, we provide evidence that our approach generates more relevant and stance-adhering counters than strong baselines.","lang":"eng"}],"editor":[{"full_name":"Vlachos, Andreas","last_name":"Vlachos","first_name":"Andreas"},{"first_name":"Isabelle","full_name":"Augenstein, Isabelle","last_name":"Augenstein"}],"status":"public","type":"conference","publication":"Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics","title":"Conclusion-based Counter-Argument Generation","doi":"10.18653/v1/2023.eacl-main.67","publisher":"Association for Computational Linguistics","date_updated":"2025-02-20T08:21:41Z","author":[{"first_name":"Milad","full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"date_created":"2025-02-20T08:20:35Z","year":"2023","place":"Dubrovnik, Croatia","citation":{"apa":"Alshomary, M., &#38; Wachsmuth, H. (2023). Conclusion-based Counter-Argument Generation. In A. Vlachos &#38; I. Augenstein (Eds.), <i>Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics</i> (pp. 957–967). Association for Computational Linguistics. <a href=\"https://doi.org/10.18653/v1/2023.eacl-main.67\">https://doi.org/10.18653/v1/2023.eacl-main.67</a>","short":"M. Alshomary, H. Wachsmuth, in: A. Vlachos, I. Augenstein (Eds.), Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Dubrovnik, Croatia, 2023, pp. 957–967.","bibtex":"@inproceedings{Alshomary_Wachsmuth_2023, place={Dubrovnik, Croatia}, title={Conclusion-based Counter-Argument Generation}, DOI={<a href=\"https://doi.org/10.18653/v1/2023.eacl-main.67\">10.18653/v1/2023.eacl-main.67</a>}, booktitle={Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Wachsmuth, Henning}, editor={Vlachos, Andreas and Augenstein, Isabelle}, year={2023}, pages={957–967} }","mla":"Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument Generation.” <i>Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics</i>, edited by Andreas Vlachos and Isabelle Augenstein, Association for Computational Linguistics, 2023, pp. 957–967, doi:<a href=\"https://doi.org/10.18653/v1/2023.eacl-main.67\">10.18653/v1/2023.eacl-main.67</a>.","ieee":"M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,” in <i>Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics</i>, 2023, pp. 957–967, doi: <a href=\"https://doi.org/10.18653/v1/2023.eacl-main.67\">10.18653/v1/2023.eacl-main.67</a>.","chicago":"Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument Generation.” In <i>Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics</i>, edited by Andreas Vlachos and Isabelle Augenstein, 957–967. Dubrovnik, Croatia: Association for Computational Linguistics, 2023. <a href=\"https://doi.org/10.18653/v1/2023.eacl-main.67\">https://doi.org/10.18653/v1/2023.eacl-main.67</a>.","ama":"Alshomary M, Wachsmuth H. Conclusion-based Counter-Argument Generation. In: Vlachos A, Augenstein I, eds. <i>Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics</i>. Association for Computational Linguistics; 2023:957–967. doi:<a href=\"https://doi.org/10.18653/v1/2023.eacl-main.67\">10.18653/v1/2023.eacl-main.67</a>"},"page":"957–967"},{"year":"2022","page":"344 - 354","citation":{"ama":"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: <i>Proceedings of the 29th International Conference on Computational Linguistics</i>. ; 2022:344-354.","chicago":"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.” In <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 344–54, 2022.","ieee":"H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain,” in <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 2022, pp. 344–354.","short":"H. Wachsmuth, M. Alshomary, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.","mla":"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.” <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 2022, pp. 344–54.","bibtex":"@inproceedings{Wachsmuth_Alshomary_2022, title={“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain}, booktitle={Proceedings of the 29th International Conference on Computational Linguistics}, author={Wachsmuth, Henning and Alshomary, Milad}, year={2022}, pages={344–354} }","apa":"Wachsmuth, H., &#38; Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain. <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 344–354."},"date_updated":"2022-11-10T09:06:39Z","date_created":"2022-08-18T10:00:46Z","author":[{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"},{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"}],"title":"\"Mama Always Had a Way of Explaining Things So I Could Understand\": A Dialogue Corpus for Learning How to Explain","publication":"Proceedings of the 29th International Conference on Computational Linguistics","type":"conference","status":"public","_id":"33004","department":[{"_id":"600"}],"user_id":"82920","language":[{"iso":"eng"}]},{"date_created":"2021-05-11T23:15:42Z","author":[{"full_name":"Kiesel, Johannes","last_name":"Kiesel","first_name":"Johannes"},{"last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad","first_name":"Milad"},{"first_name":"Nicolas","full_name":"Handke, Nicolas","last_name":"Handke"},{"first_name":"Xiaoni","full_name":"Cai, Xiaoni","last_name":"Cai"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"}],"date_updated":"2022-11-10T09:09:27Z","title":"Identifying the Human Values behind Arguments","citation":{"apa":"Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., &#38; Stein, B. (2022). Identifying the Human Values behind Arguments. <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 4459–4471.","mla":"Kiesel, Johannes, et al. “Identifying the Human Values behind Arguments.” <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 4459–71.","short":"J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, B. Stein, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–4471.","bibtex":"@inproceedings{Kiesel_Alshomary_Handke_Cai_Wachsmuth_Stein_2022, title={Identifying the Human Values behind Arguments}, booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics}, author={Kiesel, Johannes and Alshomary, Milad and Handke, Nicolas and Cai, Xiaoni and Wachsmuth, Henning and Stein, Benno}, year={2022}, pages={4459–4471} }","ama":"Kiesel J, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying the Human Values behind Arguments. In: <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>. ; 2022:4459-4471.","chicago":"Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, and Benno Stein. “Identifying the Human Values behind Arguments.” In <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 4459–71, 2022.","ieee":"J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, and B. Stein, “Identifying the Human Values behind Arguments,” in <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 4459–4471."},"page":"4459 - 4471","year":"2022","user_id":"82920","department":[{"_id":"600"}],"_id":"22157","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics","status":"public"},{"title":"Argument Novelty and Validity Assessment via Multitask and Transfer Learning","publisher":"International Conference on Computational Linguistics","date_updated":"2022-11-15T08:49:10Z","date_created":"2022-11-10T09:51:45Z","author":[{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Maja","last_name":"Stahl","id":"77647","full_name":"Stahl, Maja"}],"year":"2022","place":"Online and in Gyeongju, Republic of Korea","citation":{"short":"M. Alshomary, M. Stahl, in: Proceedings of the 9th Workshop on Argument Mining, International Conference on Computational Linguistics, Online and in Gyeongju, Republic of Korea, 2022, pp. 111–114.","mla":"Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” <i>Proceedings of the 9th Workshop on Argument Mining</i>, International Conference on Computational Linguistics, 2022, pp. 111–114.","bibtex":"@inproceedings{Alshomary_Stahl_2022, place={Online and in Gyeongju, Republic of Korea}, title={Argument Novelty and Validity Assessment via Multitask and Transfer Learning}, booktitle={Proceedings of the 9th Workshop on Argument Mining}, publisher={International Conference on Computational Linguistics}, author={Alshomary, Milad and Stahl, Maja}, year={2022}, pages={111–114} }","apa":"Alshomary, M., &#38; Stahl, M. (2022). Argument Novelty and Validity Assessment via Multitask and Transfer Learning. <i>Proceedings of the 9th Workshop on Argument Mining</i>, 111–114.","ama":"Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In: <i>Proceedings of the 9th Workshop on Argument Mining</i>. International Conference on Computational Linguistics; 2022:111–114.","ieee":"M. Alshomary and M. Stahl, “Argument Novelty and Validity Assessment via Multitask and Transfer Learning,” in <i>Proceedings of the 9th Workshop on Argument Mining</i>, 2022, pp. 111–114.","chicago":"Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” In <i>Proceedings of the 9th Workshop on Argument Mining</i>, 111–114. Online and in Gyeongju, Republic of Korea: International Conference on Computational Linguistics, 2022."},"page":"111–114","publication_status":"published","language":[{"iso":"eng"}],"_id":"34051","user_id":"77647","abstract":[{"text":"An argument is a constellation of premises reasoning towards a certain conclusion. The automatic generation of conclusions is becoming a very prominent task, raising the need for automatic measures to assess the quality of these generated conclusions. The SharedTask at the 9th Workshop on Argument Mining proposes a new task to assess the novelty and validity of a conclusion given a set of premises. In this paper, we present a multitask learning approach that transfers the knowledge learned from the natural language inference task to the tasks at hand. Evaluation results indicate the importance of both knowledge transfer and joint learning, placing our approach in the fifth place with strong results compared to baselines.","lang":"eng"}],"status":"public","type":"conference","publication":"Proceedings of the 9th Workshop on Argument Mining"},{"citation":{"mla":"Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, edited by Nicoletta Calzolari et al., International Committee on Computational Linguistics, 2022, pp. 344–354.","short":"H. Wachsmuth, M. Alshomary, 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, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 344–354.","bibtex":"@inproceedings{Wachsmuth_Alshomary_2022, place={Gyeongju, Republic of Korea}, title={“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations}, booktitle={Proceedings of the 29th International Conference on Computational Linguistics}, publisher={International Committee on Computational Linguistics}, author={Wachsmuth, Henning and Alshomary, Milad}, editor={Calzolari, Nicoletta and Huang, Chu-Ren and Kim, Hansaem and Pustejovsky, James and Wanner, Leo and Choi, Key-Sun and Ryu, Pum-Mo and Chen, Hsin-Hsi and Donatelli, Lucia and Ji, Heng and et al.}, year={2022}, pages={344–354} }","apa":"Wachsmuth, H., &#38; 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, &#38; S.-H. Na (Eds.), <i>Proceedings of the 29th International Conference on Computational Linguistics</i> (pp. 344–354). International Committee on Computational Linguistics.","ama":"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. <i>Proceedings of the 29th International Conference on Computational Linguistics</i>. International Committee on Computational Linguistics; 2022:344–354.","chicago":"Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” In <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, edited by Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, et al., 344–354. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.","ieee":"H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,” in <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 2022, pp. 344–354."},"page":"344–354","place":"Gyeongju, Republic of Korea","year":"2022","author":[{"first_name":"Henning","last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning"},{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"}],"date_created":"2024-07-22T13:05:42Z","publisher":"International Committee on Computational Linguistics","date_updated":"2024-07-26T13:05:45Z","title":"“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations","type":"conference","publication":"Proceedings of the 29th International Conference on Computational Linguistics","status":"public","abstract":[{"text":"As AI is more and more pervasive in everyday life, humans have an increasing demand to understand its behavior and decisions. Most research on explainable AI builds on the premise that there is one ideal explanation to be found. In fact, however, everyday explanations are co-constructed in a dialogue between the person explaining (the explainer) and the specific person being explained to (the explainee). In this paper, we introduce a first corpus of dialogical explanations to enable NLP research on how humans explain as well as on how AI can learn to imitate this process. The corpus consists of 65 transcribed English dialogues from the Wired video series 5 Levels, explaining 13 topics to five explainees of different proficiency. All 1550 dialogue turns have been manually labeled by five independent professionals for the topic discussed as well as for the dialogue act and the explanation move performed. We analyze linguistic patterns of explainers and explainees, and we explore differences across proficiency levels. BERT-based baseline results indicate that sequence information helps predicting topics, acts, and moves effectively.","lang":"eng"}],"editor":[{"last_name":"Calzolari","full_name":"Calzolari, Nicoletta","first_name":"Nicoletta"},{"last_name":"Huang","full_name":"Huang, Chu-Ren","first_name":"Chu-Ren"},{"last_name":"Kim","full_name":"Kim, Hansaem","first_name":"Hansaem"},{"first_name":"James","last_name":"Pustejovsky","full_name":"Pustejovsky, James"},{"last_name":"Wanner","full_name":"Wanner, Leo","first_name":"Leo"},{"full_name":"Choi, Key-Sun","last_name":"Choi","first_name":"Key-Sun"},{"last_name":"Ryu","full_name":"Ryu, Pum-Mo","first_name":"Pum-Mo"},{"full_name":"Chen, Hsin-Hsi","last_name":"Chen","first_name":"Hsin-Hsi"},{"last_name":"Donatelli","full_name":"Donatelli, Lucia","first_name":"Lucia"},{"first_name":"Heng","last_name":"Ji","full_name":"Ji, Heng"},{"first_name":"Sadao","last_name":"Kurohashi","full_name":"Kurohashi, Sadao"},{"full_name":"Paggio, Patrizia","last_name":"Paggio","first_name":"Patrizia"},{"full_name":"Xue, Nianwen","last_name":"Xue","first_name":"Nianwen"},{"first_name":"Seokhwan","last_name":"Kim","full_name":"Kim, Seokhwan"},{"first_name":"Younggyun","last_name":"Hahm","full_name":"Hahm, Younggyun"},{"full_name":"He, Zhong","last_name":"He","first_name":"Zhong"},{"first_name":"Tony Kyungil","last_name":"Lee","full_name":"Lee, Tony Kyungil"},{"full_name":"Santus, Enrico","last_name":"Santus","first_name":"Enrico"},{"full_name":"Bond, Francis","last_name":"Bond","first_name":"Francis"},{"full_name":"Na, Seung-Hoon","last_name":"Na","first_name":"Seung-Hoon"}],"user_id":"3900","department":[{"_id":"600"},{"_id":"660"}],"project":[{"name":"TRR 318 - INF: TRR 318 - Project Area INF","_id":"118"}],"_id":"55337","language":[{"iso":"eng"}]},{"citation":{"ieee":"M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.","chicago":"Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>, 2022.","ama":"Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>. ; 2022.","mla":"Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>, 2022.","short":"M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.","bibtex":"@inproceedings{Sengupta_Alshomary_Wachsmuth_2022, title={Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning}, booktitle={Proceedings of the 2022 Workshop on Figurative Language Processing}, author={Sengupta, Meghdut and Alshomary, Milad and Wachsmuth, Henning}, year={2022} }","apa":"Sengupta, M., Alshomary, M., &#38; Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>."},"year":"2022","date_created":"2022-11-14T08:49:07Z","author":[{"first_name":"Meghdut","full_name":"Sengupta, Meghdut","id":"99459","last_name":"Sengupta"},{"last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad","first_name":"Milad"},{"first_name":"Henning","id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"date_updated":"2024-07-26T13:08:46Z","title":"Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning","type":"conference","publication":"Proceedings of the 2022 Workshop on Figurative Language Processing","status":"public","user_id":"3900","department":[{"_id":"600"},{"_id":"660"}],"project":[{"_id":"127","name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens"}],"_id":"34067","language":[{"iso":"eng"}]},{"date_updated":"2025-02-20T08:22:16Z","date_created":"2022-06-28T09:03:30Z","author":[{"first_name":"Milad","id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary"},{"last_name":"Rieskamp","id":"77643","full_name":"Rieskamp, Jonas","first_name":"Jonas"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"}],"title":"Generating Contrastive Snippets for Argument Search","doi":"http://dx.doi.org/10.3233/FAIA220138","year":"2022","page":"21 - 31","citation":{"ama":"Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In: <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>. ; 2022:21-31. doi:<a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>","chicago":"Alshomary, Milad, Jonas Rieskamp, and Henning Wachsmuth. “Generating Contrastive Snippets for Argument Search.” In <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 21–31, 2022. <a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>.","ieee":"M. Alshomary, J. Rieskamp, and H. Wachsmuth, “Generating Contrastive Snippets for Argument Search,” in <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 2022, pp. 21–31, doi: <a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>.","apa":"Alshomary, M., Rieskamp, J., &#38; Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 21–31. <a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>","mla":"Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.” <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 2022, pp. 21–31, doi:<a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>.","bibtex":"@inproceedings{Alshomary_Rieskamp_Wachsmuth_2022, title={Generating Contrastive Snippets for Argument Search}, DOI={<a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>}, booktitle={Proceedings of the 9th International Conference on Computational Models of Argument}, author={Alshomary, Milad and Rieskamp, Jonas and Wachsmuth, Henning}, year={2022}, pages={21–31} }","short":"M. Alshomary, J. Rieskamp, H. Wachsmuth, in: Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31."},"_id":"32247","project":[{"name":"TRR 318 - INF: TRR 318 - Project Area INF","_id":"118"}],"department":[{"_id":"600"},{"_id":"660"}],"user_id":"3900","language":[{"iso":"eng"}],"publication":"Proceedings of the 9th International Conference on Computational Models of Argument","type":"conference","status":"public"},{"language":[{"iso":"eng"}],"_id":"30840","project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"department":[{"_id":"600"},{"_id":"660"}],"user_id":"3900","status":"public","publication":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics","type":"conference","title":"The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments","date_updated":"2025-02-20T08:22:46Z","author":[{"first_name":"Milad","id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary"},{"first_name":"Roxanne","last_name":"El Baff","full_name":"El Baff, Roxanne"},{"first_name":"Timon","last_name":"Gurcke","id":"52174","full_name":"Gurcke, Timon"},{"first_name":"Henning","last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning"}],"date_created":"2022-04-06T14:05:45Z","year":"2022","page":"8782 - 8797","citation":{"bibtex":"@inproceedings{Alshomary_El Baff_Gurcke_Wachsmuth_2022, title={The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments}, booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics}, author={Alshomary, Milad and El Baff, Roxanne and Gurcke, Timon and Wachsmuth, Henning}, year={2022}, pages={8782–8797} }","mla":"Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 8782–97.","short":"M. Alshomary, R. El Baff, T. Gurcke, H. Wachsmuth, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.","apa":"Alshomary, M., El Baff, R., Gurcke, T., &#38; Wachsmuth, H. (2022). The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 8782–8797.","ama":"Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In: <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>. ; 2022:8782-8797.","ieee":"M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments,” in <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 8782–8797.","chicago":"Alshomary, Milad, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” In <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 8782–97, 2022."}},{"year":"2021","page":"3482-3493","citation":{"short":"S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, M. Potthast, 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, pp. 3482–3493.","bibtex":"@inproceedings{Syed_Al-Khatib_Alshomary_Wachsmuth_Potthast_2021, title={Generating Informative Conclusions for Argumentative Texts}, booktitle={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}, author={Syed, Shahbaz and Al-Khatib, Khalid and Alshomary, Milad and Wachsmuth, Henning and Potthast, Martin}, year={2021}, pages={3482–3493} }","mla":"Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative Texts.” <i>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</i>, 2021, pp. 3482–93.","apa":"Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., &#38; Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. <i>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</i>, 3482–3493.","ama":"Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. In: <i>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</i>. ; 2021:3482-3493.","ieee":"S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, and M. Potthast, “Generating Informative Conclusions for Argumentative Texts,” in <i>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</i>, 2021, pp. 3482–3493.","chicago":"Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.” In <i>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</i>, 3482–93, 2021."},"title":"Generating Informative Conclusions for Argumentative Texts","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.306.pdf","open_access":"1"}],"date_updated":"2022-01-06T06:55:28Z","oa":"1","date_created":"2021-05-11T23:18:14Z","author":[{"first_name":"Shahbaz","full_name":"Syed, Shahbaz","last_name":"Syed"},{"last_name":"Al-Khatib","full_name":"Al-Khatib, Khalid","first_name":"Khalid"},{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"last_name":"Potthast","full_name":"Potthast, Martin","first_name":"Martin"}],"status":"public","publication":"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","type":"conference","language":[{"iso":"eng"}],"_id":"22158","department":[{"_id":"600"}],"user_id":"82920"},{"volume":2,"date_created":"2021-06-15T13:53:52Z","author":[{"first_name":"Milad","last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"date_updated":"2022-01-06T06:55:33Z","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2666389921000799"}],"title":"Toward Audience-aware Argument Generation","issue":"6","intvolume":"         2","citation":{"apa":"Alshomary, M., &#38; Wachsmuth, H. (2021). Toward Audience-aware Argument Generation. <i>Patterns</i>, <i>2</i>(6).","mla":"Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument Generation.” <i>Patterns</i>, vol. 2, no. 6, 2021.","bibtex":"@article{Alshomary_Wachsmuth_2021, title={Toward Audience-aware Argument Generation}, volume={2}, number={6}, journal={Patterns}, author={Alshomary, Milad and Wachsmuth, Henning}, year={2021} }","short":"M. Alshomary, H. Wachsmuth, Patterns 2 (2021).","ama":"Alshomary M, Wachsmuth H. Toward Audience-aware Argument Generation. <i>Patterns</i>. 2021;2(6).","ieee":"M. Alshomary and H. 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Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. <i>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)</i>, 1816–1827. <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">https://doi.org/10.18653/v1/2021.findings-acl.159</a>","bibtex":"@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>}, booktitle={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)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021} }","mla":"Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” <i>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)</i>, Association for Computational Linguistics, 2021, pp. 1816–1827, doi:<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>.","short":"M. 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However, existing approaches\r\ndo not perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis gap by studying the task of belief-based claim generation: Given a\r\ncontroversial topic and a set of beliefs, generate an argumentative claim\r\ntailored to the beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their stances on controversial topics and extend\r\nstate-of-the-art text generation models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs. In a manual study, we additionally evaluate\r\nthe generated claims in terms of informativeness and their likelihood to be\r\nuttered by someone with a respective belief. Our results reveal the limitations\r\nof modeling users' beliefs based on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative texts, laying the ground for\r\nfuture exploration of audience reach.","lang":"eng"}],"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"600"}],"user_id":"14972","_id":"21178","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"page":"224-233","citation":{"ama":"Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>. Association for Computational Linguistics; 2021:224-233. doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>","ieee":"M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Online, 2021, pp. 224–233, doi: <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>.","chicago":"Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–33. Association for Computational Linguistics, 2021. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>.","bibtex":"@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, DOI={<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Chen, Wei-Fan and Gurcke, Timon and Wachsmuth, Henning}, year={2021}, pages={224–233} }","mla":"Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Association for Computational Linguistics, 2021, pp. 224–33, doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>.","short":"M. 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Belief-based Generation of Argumentative Claims. <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–233. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>"},"year":"2021","conference":{"location":"Online","name":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume"},"doi":"10.18653/v1/2021.eacl-main.17","main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.17"}],"title":"Belief-based Generation of Argumentative Claims","date_created":"2021-02-05T08:00:07Z","author":[{"id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Wei-Fan","id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen"},{"first_name":"Timon","full_name":"Gurcke, Timon","id":"52174","last_name":"Gurcke"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"publisher":"Association for Computational Linguistics","date_updated":"2026-02-23T16:06:41Z"},{"conference":{"location":"Xi'an, China","end_date":"20202.07.30","start_date":"20202.07.25","name":"43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR20)"},"title":"Extractive Snippet Generation for Arguments","author":[{"first_name":"Milad","last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad"},{"full_name":"Düsterhus, Nick","last_name":"Düsterhus","first_name":"Nick"},{"first_name":"Henning","id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"date_created":"2019-01-31T08:06:15Z","date_updated":"2022-01-06T07:03:32Z","citation":{"apa":"Alshomary, M., Düsterhus, N., &#38; Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In <i>Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval</i> (pp. 1969–1972). Xi’an, China.","bibtex":"@inproceedings{Alshomary_Düsterhus_Wachsmuth_2020, title={Extractive Snippet Generation for Arguments}, booktitle={Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval}, author={Alshomary, Milad and Düsterhus, Nick and Wachsmuth, Henning}, year={2020}, pages={1969–1972} }","mla":"Alshomary, Milad, et al. “Extractive Snippet Generation for Arguments.” <i>Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval</i>, 2020, pp. 1969–72.","short":"M. Alshomary, N. Düsterhus, H. Wachsmuth, in: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–1972.","ama":"Alshomary M, Düsterhus N, Wachsmuth H. 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Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–4345.","apa":"Alshomary, M., Syed, S., Potthast, M., &#38; Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. <i>Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)</i>, 4334–4345.","chicago":"Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In <i>Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)</i>, 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020.","ieee":"M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in Argument Conclusion Generation,” in <i>Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)</i>, Seattle, USA, 2020, pp. 4334–4345.","ama":"Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: <i>Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)</i>. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345."},"page":"4334-4345","has_accepted_license":"1"},{"language":[{"iso":"eng"}],"_id":"12931","user_id":"82920","department":[{"_id":"600"},{"_id":"568"}],"status":"public","type":"conference","publication":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing","title":"Modeling Frames in Argumentation","main_file_link":[{"url":"https://www.aclweb.org/anthology/D19-1290.pdf"}],"date_updated":"2022-01-06T06:51:26Z","date_created":"2019-08-14T14:41:12Z","author":[{"first_name":"Yamen","full_name":"Ajjour, Yamen","last_name":"Ajjour"},{"first_name":"Milad","id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"}],"year":"2019","citation":{"short":"Y. Ajjour, M. Alshomary, H. Wachsmuth, B. Stein, 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.","mla":"Ajjour, Yamen, et al. “Modeling Frames in Argumentation.” <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing</i>, 2019, pp. 2915–25.","bibtex":"@inproceedings{Ajjour_Alshomary_Wachsmuth_Stein_2019, title={Modeling Frames in Argumentation}, booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing}, author={Ajjour, Yamen and Alshomary, Milad and Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={2915–2925} }","apa":"Ajjour, Y., Alshomary, M., Wachsmuth, H., &#38; Stein, B. (2019). Modeling Frames in Argumentation. In <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing</i> (pp. 2915–2925).","ama":"Ajjour Y, Alshomary M, Wachsmuth H, Stein B. Modeling Frames in Argumentation. In: <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing</i>. ; 2019:2915-2925.","ieee":"Y. Ajjour, M. Alshomary, H. Wachsmuth, and B. Stein, “Modeling Frames in Argumentation,” in <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing</i>, 2019, pp. 2915–2925.","chicago":"Ajjour, Yamen, Milad Alshomary, Henning Wachsmuth, and Benno Stein. “Modeling Frames in Argumentation.” In <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing</i>, 2915–25, 2019."},"page":"2915 - 2925"}]