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Prof. Dr.  Henning Wachsmuth

https://orcid.org/0000-0003-2792-621X
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Publications

  1. 2024
  2. Published

    Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

    Spliethöver, M., Menon, S. N. & Wachsmuth, H., Aug 2024, Findings of the Association for Computational Linguistics ACL 2024. Ku, L-W., Martins, A. & Srikumar, V. (eds.). p. 9294-9313 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  3. Published

    Analyzing the Use of Metaphors in News Editorials for Political Framing

    Sengupta, M., El Baff, R., Alshomary, M. & Wachsmuth, H., Jun 2024, Analyzing the Use of Metaphors in News Editorials for Political Framing. Mexico City, Mexico, p. 3621–3631

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  4. Published

    A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality

    Stahl, M., Michel, N., Kilsbach, S., Schmidtke, J., Rezat, S. & Wachsmuth, H., Jun 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Duh, K., Gomez, H. & Bethard, S. (eds.). p. 2661–2674 14 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  5. Published

    Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

    Stahl, M., Biermann, L., Nehring, A. & Wachsmuth, H., Jun 2024, Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). p. 283–298

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  6. Published

    Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance

    Faggioli, G., Dietz, L., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B. & Wachsmuth, H., 25 Mar 2024, In: Communications of the ACM. 67, 4, p. 31-34 4 p.

    Research output: Contribution to journal › Article › Research › peer review

  7. E-pub ahead of print

    AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

    Tornede, A., Deng, D., Eimer, T., Giovanelli, J., Mohan, A., Ruhkopf, T., Segel, S., Theodorakopoulos, D., Tornede, T., Wachsmuth, H. & Lindauer, M., 9 Feb 2024, (E-pub ahead of print) In: Transactions on Machine Learning Research.

    Research output: Contribution to journal › Article › Research › peer review

  8. Published

    Reference-guided Style-Consistent Content Transfer

    Chen, W. F., Alshomary, M., Stahl, M., Al Khatib, K., Stein, B. & Wachsmuth, H., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). p. 13754-13768 15 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  9. 2023
  10. Published

    Claim Optimization in Computational Argumentation

    Skitalinskaya, G., Spliethöver, M. & Wachsmuth, H., Sept 2023, Proceedings of the 16th International Natural Language Generation Conference. Keet, C. M., Lee, H-Y. & Zarrieß, S. (eds.). p. 134-152

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  11. Published

    Identifying Feedback Types to Augment Feedback Comment Generation

    Stahl, M. & Wachsmuth, H., Sept 2023, Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges. p. 31-36

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  12. Published

    Perspectives on Large Language Models for Relevance Judgment

    Faggioli, G., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B., Wachsmuth, H. & Dietz, L., 9 Aug 2023, ICTIR '23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval. p. 39-50 12 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  13. Published

    Modeling Appropriate Language in Argumentation

    Ziegenbein, T., Syed, S., Lange, F., Potthast, M. & Wachsmuth, H., Jul 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. p. 4344-4363 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  14. Published

    SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments

    Kiesel, J., Alshomary, M., Mirzakhmedova, N., Heinrich, M., Handke, N., Wachsmuth, H. & Stein, B., Jul 2023, Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). Ojha, A. K., Doğruöz, A. S., Da San Martino, G., Madabushi, H. T., Kumar, R. & Sartori, E. (eds.). p. 2287-2303 17 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  15. Published

    To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support

    Skitalinskaya, G. & Wachsmuth, H., Jul 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). p. 15799–15816 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  16. Published

    Mining, Assessing, and Improving Arguments in NLP and the Social Sciences

    Lapesa, G., Vecchi, E. M., Villata, S. & Wachsmuth, H., May 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. 6 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  17. Published

    Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment

    Nouri, Z., Prakash, N., Gadiraju, U. & Wachsmuth, H., 27 Mar 2023, IUI 2023 - Proceedings of the 28th International Conference on Intelligent User Interfaces. New York, NY, USA: Association for Computing Machinery (ACM), p. 737–749 13 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

  18. Published

    Conclusion-based Counter-Argument Generation

    Alshomary, M. & Wachsmuth, H., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. p. 957-967 11 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  19. Published

    Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation

    Bäumer, F., Chen, W. F., Geierhos, M., Kersting, J. & Wachsmuth, H., 2023, On-The-Fly Computing : Individualized IT-Services in dynamic markets. p. 65-84

    Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review

  20. Published

    Frame-oriented Summarization of Argumentative Discussions

    Syed, S., Ziegenbein, T., Heinisch, P., Wachsmuth, H. & Potthast, M., 2023, Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue. p. 114-129

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  21. Published

    Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments

    Stahl, M., Düsterhus, N., Chen, M. & Wachsmuth, H., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. p. 4703-4717

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  22. Published

    On-The-Fly Computing: Individualized IT-Services in dynamic markets

    Haake, C., Auf Der Heide, F. M., Platzner, M., Wachsmuth, H. & Wehrheim, H., 2023, Paderborn. (Verlagsschriftenreihe des Heinz Nixdorf Instituts; vol. 412)

    Research output: Book/Report › Anthology › Research › peer review

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