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

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

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

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

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

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 proceeding › Conference contribution › Research › peer review

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 proceeding › Conference contribution › Research › peer review