[{"abstract":[{"text":"The ability to generate explanations that are understood by explainees is the\r\nquintessence of explainable artificial intelligence. Since understanding\r\ndepends on the explainee's background and needs, recent research focused on\r\nco-constructive explanation dialogues, where an explainer continuously monitors\r\nthe explainee's understanding and adapts their explanations dynamically. We\r\ninvestigate the ability of large language models (LLMs) to engage as explainers\r\nin co-constructive explanation dialogues. In particular, we present a user\r\nstudy in which explainees interact with an LLM in two settings, one of which\r\ninvolves the LLM being instructed to explain a topic co-constructively. We\r\nevaluate the explainees' understanding before and after the dialogue, as well\r\nas their perception of the LLMs' co-constructive behavior. Our results suggest\r\nthat LLMs show some co-constructive behaviors, such as asking verification\r\nquestions, that foster the explainees' engagement and can improve understanding\r\nof a topic. However, their ability to effectively monitor the current\r\nunderstanding and scaffold the explanations accordingly remains limited.","lang":"eng"}],"related_material":{"link":[{"url":"https://github.com/webis-de/sigdial25-co-constructive-llms","relation":"software"},{"url":"https://github.com/webis-de/sigdial25-co-constructive-llms-data","relation":"research_data"}]},"publication":"Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue","department":[{"_id":"660"}],"type":"conference","date_created":"2025-09-11T16:11:17Z","date_updated":"2025-09-12T09:50:48Z","publication_status":"accepted","author":[{"last_name":"Fichtel","first_name":"Leandra","full_name":"Fichtel, Leandra"},{"last_name":"Spliethöver","first_name":"Maximilian","orcid":"0000-0003-4364-1409","full_name":"Spliethöver, Maximilian","id":"84035"},{"last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129"},{"id":"103339","first_name":"Patricia","last_name":"Jimenez","full_name":"Jimenez, Patricia"},{"full_name":"Klowait, Nils","orcid":"0000-0002-7347-099X","first_name":"Nils","last_name":"Klowait","id":"98454"},{"full_name":"Kopp, Stefan","last_name":"Kopp","first_name":"Stefan"},{"last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"id":"91982","last_name":"Robrecht","orcid":"0000-0001-5622-8248","first_name":"Amelie","full_name":"Robrecht, Amelie"},{"full_name":"Scharlau, Ingrid","first_name":"Ingrid","last_name":"Scharlau","orcid":"0000-0003-2364-9489","id":"451"},{"last_name":"Terfloth","first_name":"Lutz","full_name":"Terfloth, Lutz","id":"37320"},{"full_name":"Vollmer, Anna-Lisa","last_name":"Vollmer","first_name":"Anna-Lisa","id":"86589"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"}],"title":"Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues","year":"2025","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/2504.18483","open_access":"1"}],"project":[{"_id":"118","name":"TRR 318: Project Area INF"},{"_id":"121","name":"TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens"},{"name":"TRR 318; TP C04: Metaphern als Werkzeug des Erklärens","_id":"127"},{"_id":"122","name":"TRR 318 - Subproject B3"},{"_id":"119","name":"TRR 318 - Project Area Ö"},{"_id":"114","name":"TRR 318; TP A04: Integration des technischen Modells in das Partnermodell bei der Erklärung von digitalen Artefakten"}],"citation":{"chicago":"Fichtel, Leandra, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez, Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, et al. “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues.” In Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Avignon, France: Association for Computational Linguistics, n.d.","short":"L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.","apa":"Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp, S., Ngonga Ngomo, A.-C., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A.-L., & Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Annual Meeting of the Special Interest Group on Discourse and Dialogue.","ieee":"L. Fichtel et al., “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues,” presented at the Annual Meeting of the Special Interest Group on Discourse and Dialogue.","ama":"Fichtel L, Spliethöver M, Hüllermeier E, et al. Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. In: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics.","bibtex":"@inproceedings{Fichtel_Spliethöver_Hüllermeier_Jimenez_Klowait_Kopp_Ngonga Ngomo_Robrecht_Scharlau_Terfloth_et al., place={Avignon, France}, title={Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues}, booktitle={Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue}, publisher={Association for Computational Linguistics}, author={Fichtel, Leandra and Spliethöver, Maximilian and Hüllermeier, Eyke and Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and et al.} }","mla":"Fichtel, Leandra, et al. “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues.” Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics."},"oa":"1","place":"Avignon, France","external_id":{"arxiv":["2504.18483"]},"conference":{"name":"Annual Meeting of the Special Interest Group on Discourse and Dialogue"},"status":"public","user_id":"84035","_id":"61234","publisher":"Association for Computational Linguistics"},{"place":"Albuquerque, New Mexico","oa":"1","citation":{"chicago":"Spliethöver, Maximilian, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, and Henning Wachsmuth. “Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection.” In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Luis Chiruzzo, Alan Ritter, and Lu Wang, 2421–2449. Albuquerque, New Mexico: Association for Computational Linguistics, 2025.","short":"M. Spliethöver, T. Knebler, F. Fumagalli, M. Muschalik, B. Hammer, E. Hüllermeier, H. Wachsmuth, in: L. Chiruzzo, A. Ritter, L. Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Albuquerque, New Mexico, 2025, pp. 2421–2449.","apa":"Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E., & Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 2421–2449). Association for Computational Linguistics.","ieee":"M. Spliethöver et al., “Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection,” in Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025, pp. 2421–2449.","ama":"Spliethöver M, Knebler T, Fumagalli F, et al. Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. In: Chiruzzo L, Ritter A, Wang L, eds. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics; 2025:2421–2449.","bibtex":"@inproceedings{Spliethöver_Knebler_Fumagalli_Muschalik_Hammer_Hüllermeier_Wachsmuth_2025, place={Albuquerque, New Mexico}, title={Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection}, booktitle={Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)}, publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian and Knebler, Tim and Fumagalli, Fabian and Muschalik, Maximilian and Hammer, Barbara and Hüllermeier, Eyke and Wachsmuth, Henning}, editor={Chiruzzo, Luis and Ritter, Alan and Wang, Lu}, year={2025}, pages={2421–2449} }","mla":"Spliethöver, Maximilian, et al. “Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection.” Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Luis Chiruzzo et al., Association for Computational Linguistics, 2025, pp. 2421–2449."},"project":[{"_id":"118","name":"TRR 318: Project Area INF"},{"_id":"126","name":"TRR 318 - Subproject C3"}],"_id":"59856","publisher":"Association for Computational Linguistics","page":"2421–2449","editor":[{"last_name":"Chiruzzo","first_name":"Luis","full_name":"Chiruzzo, Luis"},{"full_name":"Ritter, Alan","first_name":"Alan","last_name":"Ritter"},{"full_name":"Wang, Lu","last_name":"Wang","first_name":"Lu"}],"user_id":"84035","status":"public","date_created":"2025-05-10T12:37:45Z","department":[{"_id":"660"}],"type":"conference","publication":"Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)","related_material":{"link":[{"url":"https://github.com/webis-de/naacl25-prompt-compositions","relation":"software"}]},"abstract":[{"lang":"eng","text":"Recent advances on instruction fine-tuning have led to the development of various prompting techniques for large language models, such as explicit reasoning steps. However, the success of techniques depends on various parameters, such as the task, language model, and context provided. Finding an effective prompt is, therefore, often a trial-and-error process. Most existing approaches to automatic prompting aim to optimize individual techniques instead of compositions of techniques and their dependence on the input. To fill this gap, we propose an adaptive prompting approach that predicts the optimal prompt composition ad-hoc for a given input. We apply our approach to social bias detection, a highly context-dependent task that requires semantic understanding. We evaluate it with three large language models on three datasets, comparing compositions to individual techniques and other baselines. The results underline the importance of finding an effective prompt composition. Our approach robustly ensures high detection performance, and is best in several settings. Moreover, first experiments on other tasks support its generalizability."}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://aclanthology.org/2025.naacl-long.122/","open_access":"1"}],"publication_identifier":{"isbn":["979-8-89176-189-6"]},"author":[{"first_name":"Maximilian","orcid":"0000-0003-4364-1409","last_name":"Spliethöver","full_name":"Spliethöver, Maximilian","id":"84035"},{"full_name":"Knebler, Tim","first_name":"Tim","last_name":"Knebler"},{"full_name":"Fumagalli, Fabian","last_name":"Fumagalli","first_name":"Fabian","id":"93420"},{"full_name":"Muschalik, Maximilian","last_name":"Muschalik","first_name":"Maximilian"},{"full_name":"Hammer, Barbara","first_name":"Barbara","last_name":"Hammer"},{"last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"}],"year":"2025","title":"Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection","publication_status":"published","date_updated":"2025-09-12T09:51:30Z"},{"language":[{"iso":"eng"}],"date_updated":"2025-09-11T09:28:23Z","author":[{"id":"99459","full_name":"Sengupta, Meghdut","last_name":"Sengupta","first_name":"Meghdut"},{"full_name":"Muschalik, Maximilian ","last_name":"Muschalik","first_name":"Maximilian "},{"last_name":"Fumagalli","first_name":"Fabian","full_name":"Fumagalli, Fabian","id":"93420"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"},{"first_name":"Eyke ","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke "},{"full_name":"Ghosh, Debanjan","last_name":"Ghosh","first_name":"Debanjan"},{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"}],"title":"Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions","year":"2025","type":"conference","date_created":"2025-09-11T09:27:10Z","file":[{"date_created":"2025-09-11T09:26:18Z","creator":"meghdut","file_id":"61194","content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2025-09-11T09:26:18Z","file_name":"sengupta25-emnlp.pdf","access_level":"closed","file_size":2189153}],"extern":"1","publication":"Accepted in Findings ","user_id":"99459","ddc":["000"],"publisher":"EMNLP ","_id":"61190","has_accepted_license":"1","conference":{"name":"Empirical Methods in Natural Language Processing (EMNLP 2025)","start_date":"2025-11-04","end_date":"2025-11-09"},"status":"public","project":[{"name":"TRR 318; TP C04: Metaphern als Werkzeug des Erklärens","_id":"127"}],"citation":{"mla":"Sengupta, Meghdut, et al. “Investigating the Impact of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” Accepted in Findings , EMNLP , 2025.","ama":"Sengupta M, Muschalik M, Fumagalli F, et al. Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. In: Accepted in Findings . EMNLP ; 2025.","bibtex":"@inproceedings{Sengupta_Muschalik_Fumagalli_Hammer_Hüllermeier_Ghosh_Wachsmuth_2025, title={Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions}, booktitle={Accepted in Findings }, publisher={EMNLP }, author={Sengupta, Meghdut and Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara and Hüllermeier, Eyke and Ghosh, Debanjan and Wachsmuth, Henning}, year={2025} }","apa":"Sengupta, M., Muschalik, M., Fumagalli, F., Hammer, B., Hüllermeier, E., Ghosh, D., & Wachsmuth, H. (2025). Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. Accepted in Findings . Empirical Methods in Natural Language Processing (EMNLP 2025).","ieee":"M. Sengupta et al., “Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions,” presented at the Empirical Methods in Natural Language Processing (EMNLP 2025), 2025.","short":"M. Sengupta, M. Muschalik, F. Fumagalli, B. Hammer, E. Hüllermeier, D. Ghosh, H. Wachsmuth, in: Accepted in Findings , EMNLP , 2025.","chicago":"Sengupta, Meghdut, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Debanjan Ghosh, and Henning Wachsmuth. “Investigating the Impact of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” In Accepted in Findings . EMNLP , 2025."},"file_date_updated":"2025-09-11T09:26:18Z"},{"type":"conference","department":[{"_id":"600"},{"_id":"660"}],"place":"Mexico City, Mexico","date_created":"2024-07-22T13:08:12Z","abstract":[{"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.","lang":"eng"}],"project":[{"name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens","_id":"127"}],"publication":"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)","citation":{"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} }","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. 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; 2024:3621–3631.","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.","chicago":"Sengupta, Meghdut, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Kevin Duh, Helena Gomez, and Steven Bethard, 3621–3631. Mexico City, Mexico: Association for Computational Linguistics, 2024.","ieee":"M. Sengupta, R. El Baff, M. Alshomary, and H. Wachsmuth, “Analyzing the Use of Metaphors in News Editorials for Political Framing,” in Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024, pp. 3621–3631.","apa":"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.","mla":"Sengupta, Meghdut, et al. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Kevin Duh et al., Association for Computational Linguistics, 2024, pp. 3621–3631."},"user_id":"3900","editor":[{"last_name":"Duh","first_name":"Kevin","full_name":"Duh, Kevin"},{"first_name":"Helena","last_name":"Gomez","full_name":"Gomez, Helena"},{"last_name":"Bethard","first_name":"Steven","full_name":"Bethard, Steven"}],"page":"3621–3631","language":[{"iso":"eng"}],"_id":"55338","publisher":"Association for Computational Linguistics","date_updated":"2024-07-26T13:02:57Z","status":"public","title":"Analyzing the Use of Metaphors in News Editorials for Political Framing","year":"2024","author":[{"id":"99459","full_name":"Sengupta, Meghdut","last_name":"Sengupta","first_name":"Meghdut"},{"last_name":"El Baff","first_name":"Roxanne","full_name":"El Baff, Roxanne"},{"id":"73059","full_name":"Alshomary, Milad","first_name":"Milad","last_name":"Alshomary"},{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}]},{"status":"public","page":"9294–9313","publisher":"Association for Computational Linguistics","_id":"58722","user_id":"84035","editor":[{"full_name":"Ku, Lun-Wei","first_name":"Lun-Wei","last_name":"Ku"},{"first_name":"Andre","last_name":"Martins","full_name":"Martins, Andre"},{"first_name":"Vivek","last_name":"Srikumar","full_name":"Srikumar, Vivek"}],"citation":{"mla":"Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness.” Findings of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei Ku et al., Association for Computational Linguistics, 2024, pp. 9294–9313, doi:10.18653/v1/2024.findings-acl.553.","ama":"Spliethöver M, Menon SN, Wachsmuth H. Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness. In: Ku L-W, Martins A, Srikumar V, eds. Findings of the Association for Computational Linguistics: ACL 2024. Association for Computational Linguistics; 2024:9294–9313. doi:10.18653/v1/2024.findings-acl.553","bibtex":"@inproceedings{Spliethöver_Menon_Wachsmuth_2024, place={Bangkok, Thailand}, title={Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness}, DOI={10.18653/v1/2024.findings-acl.553}, booktitle={Findings of the Association for Computational Linguistics: ACL 2024}, publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian and Menon, Sai Nikhil and Wachsmuth, Henning}, editor={Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek}, year={2024}, pages={9294–9313} }","apa":"Spliethöver, M., Menon, S. N., & Wachsmuth, H. (2024). Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), Findings of the Association for Computational Linguistics: ACL 2024 (pp. 9294–9313). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.553","ieee":"M. Spliethöver, S. N. Menon, and H. Wachsmuth, “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness,” in Findings of the Association for Computational Linguistics: ACL 2024, 2024, pp. 9294–9313, doi: 10.18653/v1/2024.findings-acl.553.","short":"M. Spliethöver, S.N. Menon, H. Wachsmuth, in: L.-W. Ku, A. Martins, V. Srikumar (Eds.), Findings of the Association for Computational Linguistics: ACL 2024, Association for Computational Linguistics, Bangkok, Thailand, 2024, pp. 9294–9313.","chicago":"Spliethöver, Maximilian, Sai Nikhil Menon, and Henning Wachsmuth. “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness.” In Findings of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei Ku, Andre Martins, and Vivek Srikumar, 9294–9313. Bangkok, Thailand: Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.findings-acl.553."},"project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"place":"Bangkok, Thailand","oa":"1","title":"Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness","year":"2024","author":[{"id":"84035","orcid":"0000-0003-4364-1409","first_name":"Maximilian","last_name":"Spliethöver","full_name":"Spliethöver, Maximilian"},{"full_name":"Menon, Sai Nikhil","last_name":"Menon","first_name":"Sai Nikhil"},{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"date_updated":"2025-09-12T09:52:59Z","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2024.findings-acl.553/"}],"language":[{"iso":"eng"}],"doi":"10.18653/v1/2024.findings-acl.553","publication":"Findings of the Association for Computational Linguistics: ACL 2024","abstract":[{"text":"Dialects introduce syntactic and lexical variations in language that occur in regional or social groups. Most NLP methods are not sensitive to such variations. This may lead to unfair behavior of the methods, conveying negative bias towards dialect speakers. While previous work has studied dialect-related fairness for aspects like hate speech, other aspects of biased language, such as lewdness, remain fully unexplored. To fill this gap, we investigate performance disparities between dialects in the detection of five aspects of biased language and how to mitigate them. To alleviate bias, we present a multitask learning approach that models dialect language as an auxiliary task to incorporate syntactic and lexical variations. In our experiments with African-American English dialect, we provide empirical evidence that complementing common learning approaches with dialect modeling improves their fairness. Furthermore, the results suggest that multitask learning achieves state-of-the-art performance and helps to detect properties of biased language more reliably.","lang":"eng"}],"related_material":{"link":[{"url":"https://github.com/webis-de/acl24-dialect-aware-bias-detection","relation":"software"}]},"date_created":"2025-02-20T08:18:01Z","type":"conference","department":[{"_id":"600"},{"_id":"660"}]},{"editor":[{"last_name":"Calzolari","first_name":"Nicoletta","full_name":"Calzolari, Nicoletta"},{"full_name":"Kan, Min-Yen","first_name":"Min-Yen","last_name":"Kan"},{"last_name":"Hoste","first_name":"Veronique","full_name":"Hoste, Veronique"},{"last_name":"Lenci","first_name":"Alessandro","full_name":"Lenci, Alessandro"},{"last_name":"Sakti","first_name":"Sakriani","full_name":"Sakti, Sakriani"},{"full_name":"Xue, Nianwen","last_name":"Xue","first_name":"Nianwen"}],"user_id":"67893","_id":"55404","language":[{"iso":"eng"}],"publisher":"ELRA and ICCL","page":"11523–11536","date_updated":"2024-12-17T11:30:25Z","author":[{"full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad","id":"73059"},{"first_name":"Felix","last_name":"Lange","full_name":"Lange, Felix","id":"67893"},{"last_name":"Booshehri","first_name":"Meisam","full_name":"Booshehri, Meisam"},{"id":"99459","first_name":"Meghdut","last_name":"Sengupta","full_name":"Sengupta, Meghdut"},{"first_name":"Philipp","last_name":"Cimiano","full_name":"Cimiano, Philipp"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"year":"2024","status":"public","title":"Modeling the Quality of Dialogical Explanations","department":[{"_id":"600"},{"_id":"660"}],"type":"conference","place":"Torino, Italia","date_created":"2024-07-26T13:04:25Z","project":[{"name":"TRR 318 - INF: TRR 318 - Project Area INF","_id":"118"}],"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"}],"quality_controlled":"1","citation":{"ieee":"M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, and H. Wachsmuth, “Modeling the Quality of Dialogical Explanations,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024, pp. 11523–11536.","mla":"Alshomary, Milad, et al. “Modeling the Quality of Dialogical Explanations.” Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari et al., ELRA and ICCL, 2024, pp. 11523–11536.","apa":"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.","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} }","chicago":"Alshomary, Milad, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp Cimiano, and Henning Wachsmuth. “Modeling the Quality of Dialogical Explanations.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, 11523–11536. Torino, Italia: ELRA and ICCL, 2024.","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. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). ELRA and ICCL; 2024:11523–11536.","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."},"publication":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)"},{"type":"conference","date_created":"2022-11-15T08:47:57Z","abstract":[{"lang":"eng","text":"In the context of language learning, feedback comment generation is the task of generating hints or explanatory notes for learner texts that help understand why a part of text is erroneous. This paper presents our approach to the Feedback Comment Generation Shared Task, collocated with the 16th International Natural Language Generation Conference (INLG 2023). The approach augments the generation of feedback comments by a self-supervised identification of feedback types in a multitask-learning setting. Within the shared task, other approaches performed more effective, yet the combined modeling of feedback type classification and feedback comment generation is superior to performing feedback generation only."}],"extern":"1","publication":"Proceedings of the 16th International Natural Language Generation Conference","citation":{"apa":"Stahl, M., & Wachsmuth, H. (n.d.). Identifying Feedback Types to Augment Feedback Comment Generation. Proceedings of the 16th International Natural Language Generation Conference. 16th International Natural Language Generation Conference.","ieee":"M. Stahl and H. Wachsmuth, “Identifying Feedback Types to Augment Feedback Comment Generation,” presented at the 16th International Natural Language Generation Conference.","chicago":"Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment Feedback Comment Generation.” In Proceedings of the 16th International Natural Language Generation Conference, n.d.","short":"M. Stahl, H. Wachsmuth, in: Proceedings of the 16th International Natural Language Generation Conference, n.d.","mla":"Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment Feedback Comment Generation.” Proceedings of the 16th International Natural Language Generation Conference.","ama":"Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. In: Proceedings of the 16th International Natural Language Generation Conference.","bibtex":"@inproceedings{Stahl_Wachsmuth, title={Identifying Feedback Types to Augment Feedback Comment Generation}, booktitle={Proceedings of the 16th International Natural Language Generation Conference}, author={Stahl, Maja and Wachsmuth, Henning} }"},"user_id":"77647","language":[{"iso":"eng"}],"_id":"34083","date_updated":"2022-11-15T08:48:01Z","publication_status":"accepted","title":"Identifying Feedback Types to Augment Feedback Comment Generation","year":"2023","status":"public","conference":{"name":"16th International Natural Language Generation Conference"},"author":[{"first_name":"Maja","last_name":"Stahl","full_name":"Stahl, Maja","id":"77647"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}]},{"date_updated":"2024-07-12T12:07:59Z","intvolume":" 412","year":"2023","title":"On-The-Fly Computing -- Individualized IT-services in dynamic markets","author":[{"id":"20801","last_name":"Haake","first_name":"Claus-Jochen","full_name":"Haake, Claus-Jochen"},{"last_name":"Meyer auf der Heide","first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","id":"15523"},{"id":"398","first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Wehrheim, Heike","first_name":"Heike","last_name":"Wehrheim","id":"573"}],"publication_identifier":{"unknown":["978-3-947647-31-6"]},"doi":"10.17619/UNIPB/1-1797","alternative_title":["Collaborative Research Centre 901 (2011 – 2023)"],"series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In the proposal for our CRC in 2011, we formulated a vision of markets for\r\nIT services that describes an approach to the provision of such services\r\nthat was novel at that time and, to a large extent, remains so today:\r\n„Our vision of on-the-fly computing is that of IT services individually and\r\nautomatically configured and brought to execution from flexibly combinable\r\nservices traded on markets. At the same time, we aim at organizing\r\nmarkets whose participants maintain a lively market of services through\r\nappropriate entrepreneurial actions.“\r\nOver the last 12 years, we have developed methods and techniques to\r\naddress problems critical to the convenient, efficient, and secure use of\r\non-the-fly computing. Among other things, we have made the description\r\nof services more convenient by allowing natural language input,\r\nincreased the quality of configured services through (natural language)\r\ninteraction and more efficient configuration processes and analysis\r\nprocedures, made the quality of (the products of) providers in the\r\nmarketplace transparent through reputation systems, and increased the\r\nresource efficiency of execution through reconfigurable heterogeneous\r\ncomputing nodes and an integrated treatment of service description and\r\nconfiguration. We have also developed network infrastructures that have\r\na high degree of adaptivity, scalability, efficiency, and reliability, and\r\nprovide cryptographic guarantees of anonymity and security for market\r\nparticipants and their products and services.\r\nTo demonstrate the pervasiveness of the OTF computing approach, we\r\nhave implemented a proof-of-concept for OTF computing that can run\r\ntypical scenarios of an OTF market. We illustrated the approach using\r\na cutting-edge application scenario – automated machine learning (AutoML).\r\nFinally, we have been pushing our work for the perpetuation of\r\nOn-The-Fly Computing beyond the SFB and sharing the expertise gained\r\nin the SFB in events with industry partners as well as transfer projects.\r\nThis work required a broad spectrum of expertise. Computer scientists\r\nand economists with research interests such as computer networks and\r\ndistributed algorithms, security and cryptography, software engineering\r\nand verification, configuration and machine learning, computer engineering\r\nand HPC, microeconomics and game theory, business informatics\r\nand management have successfully collaborated here."}],"type":"book","department":[{"_id":"7"},{"_id":"78"},{"_id":"26"}],"file":[{"date_created":"2023-07-05T07:15:55Z","creator":"ups","content_type":"application/pdf","file_id":"45864","date_updated":"2023-07-05T07:19:14Z","relation":"main_file","file_size":15480050,"access_level":"open_access","file_name":"SFB-Buch-Final.pdf"}],"date_created":"2023-07-05T07:16:51Z","has_accepted_license":"1","status":"public","ddc":["000"],"user_id":"1112","volume":412,"page":"247","_id":"45863","publisher":"Heinz Nixdorf Institut, Universität Paderborn","project":[{"_id":"1","grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "},{"_id":"2","name":"SFB 901 - A: SFB 901 - Project Area A"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901 - T: SFB 901 - Project Area T","_id":"82"},{"_id":"5","grant_number":"160364472","name":"SFB 901 - A1: SFB 901 - Möglichkeiten und Grenzen lokaler Strategien in dynamischen Netzen (Subproject A1)"},{"name":"SFB 901 - A3: SFB 901 - Der Markt für Services: Anreize, Algorithmen, Implementation (Subproject A3)","grant_number":"160364472","_id":"7"},{"name":"SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen (Subproject A4)","_id":"8","grant_number":"160364472"},{"_id":"9","grant_number":"160364472","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)"},{"name":"SFB 901 - B2: Konfiguration und Bewertung (B02)","_id":"10","grant_number":"160364472"},{"_id":"11","name":"SFB 901 - B3: SFB 901 - Subproject B3"},{"_id":"12","name":"SFB 901 - B4: SFB 901 - Subproject B4"},{"_id":"13","grant_number":"160364472","name":"SFB 901 - C1: SFB 901 - Subproject C1"},{"name":"SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen (Subproject C2)","_id":"14","grant_number":"160364472"},{"name":"SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter Dienste in konfigurierbaren Rechenzentren (Subproject C4)","_id":"16","grant_number":"160364472"},{"name":"SFB 901 - C5: SFB 901 - Subproject C5","_id":"17"},{"_id":"83","name":"SFB 901 - T1: SFB 901 -Subproject T1"},{"grant_number":"160364472","_id":"84","name":"SFB 901 - T2: SFB 901 -Subproject T2"}],"file_date_updated":"2023-07-05T07:19:14Z","citation":{"bibtex":"@book{Haake_Meyer auf der Heide_Platzner_Wachsmuth_Wehrheim_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, volume={412}, DOI={10.17619/UNIPB/1-1797}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","short":"C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim, On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023.","ama":"Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797","chicago":"Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1797.","ieee":"C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.","apa":"Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797","mla":"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."},"oa":"1","place":"Paderborn"},{"date_created":"2024-07-26T13:09:20Z","place":"Singapore","type":"conference","department":[{"_id":"600"},{"_id":"660"}],"publication":"Findings of the Association for Computational Linguistics: EMNLP 2023","citation":{"chicago":"Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308.","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., & 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","ieee":"M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms,” in Findings of the Association for Computational Linguistics: EMNLP 2023, 2023, pp. 4636–4659, doi: 10.18653/v1/2023.findings-emnlp.308.","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. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics; 2023:4636–4659. doi:10.18653/v1/2023.findings-emnlp.308","bibtex":"@inproceedings{Sengupta_Alshomary_Scharlau_Wachsmuth_2023, place={Singapore}, title={Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms}, DOI={10.18653/v1/2023.findings-emnlp.308}, 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} }","mla":"Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor et al., Association for Computational Linguistics, 2023, pp. 4636–4659, doi:10.18653/v1/2023.findings-emnlp.308."},"abstract":[{"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.","lang":"eng"}],"project":[{"_id":"127","name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens"}],"page":"4636–4659","_id":"55406","publisher":"Association for Computational Linguistics","language":[{"iso":"eng"}],"user_id":"3900","doi":"10.18653/v1/2023.findings-emnlp.308","editor":[{"full_name":"Bouamor, Houda","last_name":"Bouamor","first_name":"Houda"},{"full_name":"Pino, Juan","first_name":"Juan","last_name":"Pino"},{"full_name":"Bali, Kalika","first_name":"Kalika","last_name":"Bali"}],"year":"2023","status":"public","title":"Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms","author":[{"id":"99459","full_name":"Sengupta, Meghdut","first_name":"Meghdut","last_name":"Sengupta"},{"last_name":"Alshomary","first_name":"Milad","full_name":"Alshomary, Milad","id":"73059"},{"first_name":"Ingrid","orcid":"0000-0003-2364-9489","last_name":"Scharlau","full_name":"Scharlau, Ingrid","id":"451"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"date_updated":"2024-07-26T13:19:53Z"},{"series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","language":[{"iso":"eng"}],"doi":"10.5281/zenodo.8068456","title":"Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation","year":"2023","author":[{"last_name":"Bäumer","first_name":"Frederik Simon","full_name":"Bäumer, Frederik Simon","id":"38837"},{"full_name":"Chen, Wei-Fan","last_name":"Chen","first_name":"Wei-Fan","id":"82920"},{"id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos"},{"full_name":"Kersting, Joschka","last_name":"Kersting","first_name":"Joschka","id":"58701"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"date_updated":"2023-07-07T11:20:52Z","intvolume":" 412","file":[{"file_id":"45883","content_type":"application/pdf","file_name":"B1-Chapter-SFB-Buch-Final.pdf","file_size":1342718,"access_level":"open_access","relation":"main_file","date_updated":"2023-07-07T11:20:52Z","date_created":"2023-07-07T07:28:58Z","creator":"florida"}],"date_created":"2023-07-07T07:29:13Z","type":"book_chapter","department":[{"_id":"7"},{"_id":"369"}],"publication":"On-The-Fly Computing -- Individualized IT-services in dynamic markets","page":"65-84","publisher":"Heinz Nixdorf Institut, Universität Paderborn","_id":"45882","user_id":"477","ddc":["004"],"volume":412,"editor":[{"last_name":"Haake","first_name":"Claus-Jochen","full_name":"Haake, Claus-Jochen"},{"first_name":"Friedhelm","last_name":"Meyer auf der Heide","full_name":"Meyer auf der Heide, Friedhelm"},{"full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"},{"full_name":"Wehrheim, Heike","last_name":"Wehrheim","first_name":"Heike"}],"status":"public","has_accepted_license":"1","place":"Paderborn","oa":"1","file_date_updated":"2023-07-07T11:20:52Z","citation":{"ama":"Bäumer FS, Chen W-F, Geierhos M, Kersting J, Wachsmuth H. Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84. doi:10.5281/zenodo.8068456","bibtex":"@inbook{Bäumer_Chen_Geierhos_Kersting_Wachsmuth_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation}, volume={412}, DOI={10.5281/zenodo.8068456}, booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Bäumer, Frederik Simon and Chen, Wei-Fan and Geierhos, Michaela and Kersting, Joschka and Wachsmuth, Henning}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={65–84}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","mla":"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.","short":"F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.","chicago":"Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting, and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068456.","apa":"Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068456","ieee":"F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84."},"project":[{"name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","grant_number":"160364472","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","_id":"9","grant_number":"160364472"}]},{"publication":"Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics","citation":{"chicago":"Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument Generation.” In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, edited by Andreas Vlachos and Isabelle Augenstein, 957–967. Dubrovnik, Croatia: Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.eacl-main.67.","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.","ama":"Alshomary M, Wachsmuth H. Conclusion-based Counter-Argument Generation. In: Vlachos A, Augenstein I, eds. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics; 2023:957–967. doi:10.18653/v1/2023.eacl-main.67","bibtex":"@inproceedings{Alshomary_Wachsmuth_2023, place={Dubrovnik, Croatia}, title={Conclusion-based Counter-Argument Generation}, DOI={10.18653/v1/2023.eacl-main.67}, 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.” Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, edited by Andreas Vlachos and Isabelle Augenstein, Association for Computational Linguistics, 2023, pp. 957–967, doi:10.18653/v1/2023.eacl-main.67.","apa":"Alshomary, M., & Wachsmuth, H. (2023). Conclusion-based Counter-Argument Generation. In A. Vlachos & I. Augenstein (Eds.), Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp. 957–967). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.eacl-main.67","ieee":"M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,” in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023, pp. 957–967, doi: 10.18653/v1/2023.eacl-main.67."},"abstract":[{"lang":"eng","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."}],"project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"place":"Dubrovnik, Croatia","date_created":"2025-02-20T08:20:35Z","type":"conference","department":[{"_id":"600"},{"_id":"660"}],"year":"2023","status":"public","title":"Conclusion-based Counter-Argument Generation","author":[{"first_name":"Milad","last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059"},{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"date_updated":"2025-02-20T08:21:41Z","page":"957–967","publisher":"Association for Computational Linguistics","_id":"58723","language":[{"iso":"eng"}],"doi":"10.18653/v1/2023.eacl-main.67","user_id":"3900","editor":[{"full_name":"Vlachos, Andreas","first_name":"Andreas","last_name":"Vlachos"},{"full_name":"Augenstein, Isabelle","first_name":"Isabelle","last_name":"Augenstein"}]},{"citation":{"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.” Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–54.","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: Proceedings of the 29th International Conference on Computational Linguistics. ; 2022:344-354.","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., & 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.","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 Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.","short":"H. Wachsmuth, M. Alshomary, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 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 Proceedings of the 29th International Conference on Computational Linguistics, 344–54, 2022."},"publication":"Proceedings of the 29th International Conference on Computational Linguistics","department":[{"_id":"600"}],"type":"conference","date_created":"2022-08-18T10:00:46Z","date_updated":"2022-11-10T09:06:39Z","author":[{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"full_name":"Alshomary, Milad","first_name":"Milad","last_name":"Alshomary","id":"73059"}],"status":"public","year":"2022","title":"\"Mama Always Had a Way of Explaining Things So I Could Understand\": A Dialogue Corpus for Learning How to Explain","user_id":"82920","_id":"33004","language":[{"iso":"eng"}],"page":"344 - 354"},{"date_created":"2022-11-10T08:39:38Z","department":[{"_id":"600"}],"type":"journal_article","citation":{"bibtex":"@article{Lauscher_Wachsmuth_Gurevych_Glavaš_2022, title={On the Role of Knowledge in Computational Argumentation}, journal={Transactions of the Association for Computational Linguistics}, author={Lauscher, Anne and Wachsmuth, Henning and Gurevych, Iryna and Glavaš, Goran}, year={2022} }","ama":"Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics. Published online 2022.","mla":"Lauscher, Anne, et al. “On the Role of Knowledge in Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.","short":"A. Lauscher, H. Wachsmuth, I. Gurevych, G. Glavaš, Transactions of the Association for Computational Linguistics (2022).","chicago":"Lauscher, Anne, Henning Wachsmuth, Iryna Gurevych, and Goran Glavaš. “On the Role of Knowledge in Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.","ieee":"A. Lauscher, H. Wachsmuth, I. Gurevych, and G. Glavaš, “On the Role of Knowledge in Computational Argumentation,” Transactions of the Association for Computational Linguistics, 2022.","apa":"Lauscher, A., Wachsmuth, H., Gurevych, I., & Glavaš, G. (2022). On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics."},"publication":"Transactions of the Association for Computational Linguistics","_id":"34049","language":[{"iso":"eng"}],"user_id":"82920","author":[{"full_name":"Lauscher, Anne","first_name":"Anne","last_name":"Lauscher"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Gurevych, Iryna","first_name":"Iryna","last_name":"Gurevych"},{"first_name":"Goran","last_name":"Glavaš","full_name":"Glavaš, Goran"}],"status":"public","title":"On the Role of Knowledge in Computational Argumentation","year":"2022","date_updated":"2022-11-10T08:39:48Z"},{"date_created":"2021-05-11T23:15:42Z","type":"conference","department":[{"_id":"600"}],"publication":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics","citation":{"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.","chicago":"Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, and Benno Stein. “Identifying the Human Values behind Arguments.” In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–71, 2022.","ieee":"J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, and B. Stein, “Identifying the Human Values behind Arguments,” in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–4471.","apa":"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.","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: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:4459-4471.","mla":"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."},"page":"4459 - 4471","language":[{"iso":"eng"}],"_id":"22157","user_id":"82920","year":"2022","status":"public","title":"Identifying the Human Values behind Arguments","author":[{"full_name":"Kiesel, Johannes","first_name":"Johannes","last_name":"Kiesel"},{"id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Nicolas","last_name":"Handke","full_name":"Handke, Nicolas"},{"last_name":"Cai","first_name":"Xiaoni","full_name":"Cai, Xiaoni"},{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"}],"date_updated":"2022-11-10T09:09:27Z"},{"abstract":[{"lang":"eng","text":"News articles both shape and reflect public opinion across the political\r\nspectrum. Analyzing them for social bias can thus provide valuable insights,\r\nsuch as prevailing stereotypes in society and the media, which are often\r\nadopted by NLP models trained on respective data. Recent work has relied on\r\nword embedding bias measures, such as WEAT. However, several representation\r\nissues of embeddings can harm the measures' accuracy, including low-resource\r\nsettings and token frequency differences. In this work, we study what kind of\r\nembedding algorithm serves best to accurately measure types of social bias\r\nknown to exist in US online news articles. To cover the whole spectrum of\r\npolitical bias in the US, we collect 500k articles and review psychology\r\nliterature with respect to expected social bias. We then quantify social bias\r\nusing WEAT along with embedding algorithms that account for the aforementioned\r\nissues. We compare how models trained with the algorithms on news articles\r\nrepresent the expected social bias. Our results suggest that the standard way\r\nto quantify bias does not align well with knowledge from psychology. While the\r\nproposed algorithms reduce the~gap, they still do not fully match the\r\nliterature."}],"extern":"1","publication":"Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)","citation":{"ieee":"M. Spliethöver, M. Keiff, and H. Wachsmuth, “No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media,” presented at the The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, 2022.","mla":"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.","apa":"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.","bibtex":"@inproceedings{Spliethöver_Keiff_Wachsmuth_2022, title={No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media}, booktitle={Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)}, publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian and Keiff, Maximilian and Wachsmuth, Henning}, year={2022} }","chicago":"Spliethöver, Maximilian, Maximilian Keiff, and Henning Wachsmuth. “No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media.” In Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics, 2022.","short":"M. Spliethöver, M. Keiff, H. Wachsmuth, in: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022.","ama":"Spliethöver M, Keiff M, Wachsmuth H. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics; 2022."},"type":"conference","department":[{"_id":"600"}],"external_id":{"arxiv":["2211.03634"]},"date_created":"2022-11-10T08:28:53Z","date_updated":"2022-11-11T12:49:47Z","status":"public","year":"2022","title":"No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media","conference":{"end_date":"2022-12-11","location":"Abu Dhabi","start_date":"2022-12-07","name":"The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)"},"author":[{"first_name":"Maximilian","last_name":"Spliethöver","full_name":"Spliethöver, Maximilian"},{"last_name":"Keiff","first_name":"Maximilian","full_name":"Keiff, Maximilian"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"user_id":"84035","_id":"34047","language":[{"iso":"eng"}],"publisher":"Association for Computational Linguistics"},{"citation":{"mla":"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.","apa":"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","ieee":"A. Bondarenko et al., “Overview of Touché 2022: Argument Retrieval,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2022.","chicago":"Bondarenko, Alexander, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, et al. “Overview of Touché 2022: Argument Retrieval.” In Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-99739-7_43.","short":"A. Bondarenko, M. Fröbe, J. Kiesel, S. Syed, T. Gurcke, M. Beloucif, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2022.","ama":"Bondarenko A, Fröbe M, Kiesel J, et al. Overview of Touché 2022: Argument Retrieval. In: Lecture Notes in Computer Science. Springer International Publishing; 2022. doi:10.1007/978-3-030-99739-7_43","bibtex":"@inbook{Bondarenko_Fröbe_Kiesel_Syed_Gurcke_Beloucif_Panchenko_Biemann_Stein_Wachsmuth_et al._2022, place={Cham}, title={Overview of Touché 2022: Argument Retrieval}, DOI={10.1007/978-3-030-99739-7_43}, booktitle={Lecture Notes in Computer Science}, publisher={Springer International Publishing}, author={Bondarenko, Alexander and Fröbe, Maik and Kiesel, Johannes and Syed, Shahbaz and Gurcke, Timon and Beloucif, Meriem and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and et al.}, year={2022} }"},"publication":"Lecture Notes in Computer Science","place":"Cham","date_created":"2022-11-14T13:47:51Z","department":[{"_id":"600"}],"type":"book_chapter","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030997380","9783030997397"]},"author":[{"full_name":"Bondarenko, Alexander","last_name":"Bondarenko","first_name":"Alexander"},{"full_name":"Fröbe, Maik","last_name":"Fröbe","first_name":"Maik"},{"first_name":"Johannes","last_name":"Kiesel","full_name":"Kiesel, Johannes"},{"full_name":"Syed, Shahbaz","last_name":"Syed","first_name":"Shahbaz"},{"full_name":"Gurcke, Timon","last_name":"Gurcke","first_name":"Timon"},{"full_name":"Beloucif, Meriem","last_name":"Beloucif","first_name":"Meriem"},{"last_name":"Panchenko","first_name":"Alexander","full_name":"Panchenko, Alexander"},{"first_name":"Chris","last_name":"Biemann","full_name":"Biemann, Chris"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"last_name":"Hagen","first_name":"Matthias","full_name":"Hagen, Matthias"}],"status":"public","year":"2022","title":"Overview of Touché 2022: Argument Retrieval","date_updated":"2022-11-14T13:48:38Z","publication_status":"published","publisher":"Springer International Publishing","_id":"34077","alternative_title":["Extended Abstract"],"doi":"10.1007/978-3-030-99739-7_43","user_id":"52174"},{"_id":"34051","publisher":"International Conference on Computational Linguistics","language":[{"iso":"eng"}],"page":"111–114","user_id":"77647","author":[{"id":"73059","full_name":"Alshomary, Milad","first_name":"Milad","last_name":"Alshomary"},{"id":"77647","full_name":"Stahl, Maja","first_name":"Maja","last_name":"Stahl"}],"status":"public","year":"2022","title":"Argument Novelty and Validity Assessment via Multitask and Transfer Learning","publication_status":"published","date_updated":"2022-11-15T08:49:10Z","date_created":"2022-11-10T09:51:45Z","place":"Online and in Gyeongju, Republic of Korea","type":"conference","citation":{"apa":"Alshomary, M., & Stahl, M. (2022). Argument Novelty and Validity Assessment via Multitask and Transfer Learning. Proceedings of the 9th Workshop on Argument Mining, 111–114.","ieee":"M. Alshomary and M. Stahl, “Argument Novelty and Validity Assessment via Multitask and Transfer Learning,” in Proceedings of the 9th Workshop on Argument Mining, 2022, pp. 111–114.","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.","chicago":"Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” In Proceedings of the 9th Workshop on Argument Mining, 111–114. Online and in Gyeongju, Republic of Korea: International Conference on Computational Linguistics, 2022.","mla":"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.","ama":"Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In: Proceedings of the 9th Workshop on Argument Mining. International Conference on Computational Linguistics; 2022:111–114.","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} }"},"publication":"Proceedings of the 9th Workshop on Argument Mining","abstract":[{"lang":"eng","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."}]},{"abstract":[{"text":"Gender bias may emerge from an unequal representation of agency and power, for example, by portraying women frequently as passive and powerless (\"She accepted her future'') and men as proactive and powerful (\"He chose his future''). When language models learn from respective texts, they may reproduce or even amplify the bias. An effective way to mitigate bias is to generate counterfactual sentences with opposite agency and power to the training. Recent work targeted agency-specific verbs from a lexicon to this end. We argue that this is insufficient, due to the interaction of agency and power and their dependence on context. In this paper, we thus develop a new rewriting model that identifies verbs with the desired agency and power in the context of the given sentence. The verbs' probability is then boosted to encourage the model to rewrite both connotations jointly. According to automatic metrics, our model effectively controls for power while being competitive in agency to the state of the art. In our evaluation, human annotators favored its counterfactuals in terms of both connotations, also deeming its meaning preservation better.","lang":"eng"}],"quality_controlled":"1","extern":"1","publication":"Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science","citation":{"bibtex":"@inproceedings{Stahl_Spliethöver_Wachsmuth, place={Abu Dhabi, United Arab Emirates}, title={To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation}, booktitle={Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science}, author={Stahl, Maja and Spliethöver, Maximilian and Wachsmuth, Henning} }","ama":"Stahl M, Spliethöver M, Wachsmuth H. To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. In: Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science.","mla":"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.","short":"M. Stahl, M. Spliethöver, H. Wachsmuth, in: Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science, Abu Dhabi, United Arab Emirates, n.d.","chicago":"Stahl, Maja, Maximilian Spliethöver, and Henning Wachsmuth. “To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation.” In Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science. Abu Dhabi, United Arab Emirates, n.d.","ieee":"M. Stahl, M. Spliethöver, and H. Wachsmuth, “To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation,” presented at the Fifth Workshop on NLP and Computational Social Science (NLP+CSS) At EMNLP 2022, Abu Dhabi, United Arab Emirates.","apa":"Stahl, M., Spliethöver, M., & Wachsmuth, H. (n.d.). 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. Fifth Workshop on NLP and Computational Social Science (NLP+CSS) At EMNLP 2022, Abu Dhabi, United Arab Emirates."},"type":"conference","place":"Abu Dhabi, United Arab Emirates","date_created":"2022-11-15T08:29:26Z","date_updated":"2022-11-18T08:22:56Z","publication_status":"accepted","status":"public","year":"2022","title":"To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation","conference":{"name":"Fifth Workshop on NLP and Computational Social Science (NLP+CSS) At EMNLP 2022","location":"Abu Dhabi, United Arab Emirates"},"author":[{"id":"77647","full_name":"Stahl, Maja","first_name":"Maja","last_name":"Stahl"},{"id":"84035","last_name":"Spliethöver","orcid":"0000-0003-4364-1409","first_name":"Maximilian","full_name":"Spliethöver, Maximilian"},{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"}],"user_id":"77647","language":[{"iso":"eng"}],"_id":"34082"},{"_id":"33274","language":[{"iso":"eng"}],"page":"51 - 61","user_id":"477","author":[{"id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen","first_name":"Wei-Fan"},{"last_name":"Chen","first_name":"Mei-Hua","full_name":"Chen, Mei-Hua"},{"full_name":"Mudgal, Garima","last_name":"Mudgal","first_name":"Garima"},{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"}],"title":"Analyzing Culture-Specific Argument Structures in Learner Essays","status":"public","year":"2022","date_updated":"2022-11-18T09:56:17Z","date_created":"2022-09-06T13:51:23Z","department":[{"_id":"600"}],"type":"conference","citation":{"mla":"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.","bibtex":"@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022, title={Analyzing Culture-Specific Argument Structures in Learner Essays}, booktitle={Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)}, author={Chen, Wei-Fan and Chen, Mei-Hua and Mudgal, Garima and Wachsmuth, Henning}, year={2022}, pages={51–61} }","ama":"Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022). ; 2022:51-61.","ieee":"W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.","apa":"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.","chicago":"Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing Culture-Specific Argument Structures in Learner Essays.” In Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.","short":"W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61."},"publication":"Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)","project":[{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"},{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"}]},{"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"citation":{"mla":"Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022.","apa":"Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL.","ieee":"M.-H. Chen, G. Mudgal, W.-F. Chen, and H. Wachsmuth, “Investigating the argumentation structures of EFL learners from diverse language backgrounds,” 2022.","ama":"Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: EUROCALL. ; 2022.","short":"M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.","chicago":"Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” In EUROCALL, 2022.","bibtex":"@inproceedings{Chen_Mudgal_Chen_Wachsmuth_2022, title={Investigating the argumentation structures of EFL learners from diverse language backgrounds}, booktitle={EUROCALL}, author={Chen, Mei-Hua and Mudgal, Garima and Chen, Wei-Fan and Wachsmuth, Henning}, year={2022} }"},"publication":"EUROCALL","department":[{"_id":"600"}],"type":"conference_abstract","date_created":"2022-05-05T07:50:21Z","date_updated":"2022-05-09T14:58:39Z","author":[{"last_name":"Chen","first_name":"Mei-Hua","full_name":"Chen, Mei-Hua"},{"last_name":"Mudgal","first_name":"Garima","full_name":"Mudgal, Garima"},{"id":"82920","last_name":"Chen","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"}],"status":"public","year":"2022","title":"Investigating the argumentation structures of EFL learners from diverse language backgrounds","user_id":"82920","language":[{"iso":"eng"}],"_id":"31068"}]