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Natural Language Processing Section

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Publications

  1. 2023
  2. 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 proceedingConference contributionResearchpeer review

  3. 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 proceedingConference contributionResearchpeer review

  4. 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 proceedingConference contributionResearchpeer review

  5. 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 proceedingConference contributionResearchpeer review

  6. 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 proceedingConference contributionResearchpeer review

  7. 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 proceedingContribution to book/anthologyResearchpeer review

  8. 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 proceedingConference contributionResearchpeer review

  9. 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 proceedingConference contributionResearchpeer review

  10. 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/ReportAnthologyResearchpeer review

  11. Published

    Topic Ontologies for Arguments

    Ajjour, Y., Kiesel, J., Stein, B. & Potthast, M., 2023, Findings of the Association for Computational Linguistics: EACL 2023. Kroatien, p. 1411–1427

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  12. Published

    Topic Ontologies for Arguments

    Ajjour, Y., Stein, B., Kiesel, J. & Potthast, M., 2023, EACL 2023 : 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. p. 1381-1397 17 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  13. 2022
  14. Published

    No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

    Spliethöver, M., Keiff, M. & Wachsmuth, H., Dec 2022, Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). p. 2081-2093 13 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  15. Published

    To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation

    Stahl, M., Spliethöver, M. & Wachsmuth, H., Nov 2022, Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science. Abu Dhabi, United Arab Emirates, p. 39-51 13 p. (NLPCSS 2022 - 5th Workshop on Natural Language Processing and Computational Social Science ,NLP+CSS, Held at the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  16. Published

    Towards Understanding and Answering Comparative Questions

    Bondarenko, A., Ajjour, Y., Dittmar, V., Homann, N., Braslavski, P. & Hagen, M., 15 Feb 2022, 15th ACM International Conference on Web Search and Data Mining (WSDM 2022). Candan, K. S., Liu, H., Akoglu, L., Dong, X. L. & Tang, J. (eds.). p. 66-74 9 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  17. Published

    Argument Novelty and Validity Assessment via Multitask and Transfer Learning

    Alshomary, M. & Stahl, M., 2022, Proceedings of the 9th Workshop on Argument Mining. p. 111-114

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  18. Published

    Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

    Sengupta, M., Alshomary, M. & Wachsmuth, H., 2022, Proceedings of the 2022 Workshop on Figurative Language Processing. p. 137-142 6 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  19. 2021
  20. Published

    Same Side Stance Classification Shared Task 2019

    Ajjour, Y. (ed.), Al-Khatib, K. (ed.), Cimiano, P. (ed.), Baff, R. E. (ed.), Ell, B. (ed.), Stein, B. (ed.) & Wachsmuth, H. (ed.), 1 Jul 2021, (CEUR Workshop Proceedings)

    Research output: Book/ReportAnthologyResearchpeer review

  21. 2019
  22. Published

    Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation

    Spliethöver, M., Klaff, J. & Heuer, H., Aug 2019, Proceedings of the 6th Workshop on Argument Mining. Stein, B. & Wachsmuth, H. (eds.). Florence, p. 74-82 9 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  23. Published

    Introduction

    Stein, B. & Wachsmuth, H., 2019, Proceedings of the 6th Workshop on Argument Mining. Stein, B. & Wachsmuth, H. (eds.). Florence, p. III-III 1 p.

    Research output: Chapter in book/report/conference proceedingConference abstractResearchpeer review

  24. 2018
  25. Published

    Improving Barycentric Embeddings of Topics Spaces

    Kiesel, D., Riehmann, P., Fan, F., Ajjour, Y., Wachsmuth, H., Stein, B. & Fröhlich, B., 1 Oct 2018, IEEE VIS 2018.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review