Maja Stahl, M. Sc.
Adresse
Welfengarten 1
30167 Hannover
Gebäude
Raum
Maja Stahl, M. Sc.
Adresse
Welfengarten 1
30167 Hannover
Gebäude
Raum

Research Interests

Publications

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Chen WF, Alshomary M, Stahl M, Al Khatib K, Stein B, Wachsmuth H. Reference-guided Style-Consistent Content Transfer. in Calzolari N, Kan MY, Hoste V, Lenci A, Sakti S, Xue N, Hrsg., 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. European Language Resources Association (ELRA). 2024. S. 13754-13768
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Stahl M, Michel N, Kilsbach S, Schmidtke J, Rezat S, Wachsmuth H. A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality. in Duh K, Gomez H, Bethard S, Hrsg., Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024. S. 2661–2674. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024).
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Stahl M, Biermann L, Nehring A, Wachsmuth H. Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation. in Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). 2024. S. 283–298
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LIGO Scientific, Virgo, and KAGRA Collaborations, Brinkmann M, Carlassara M, Chakraborty P, Danzmann K, Heurs M et al. Ultralight vector dark matter search using data from the KAGRA O3GK run. Physical Review D. 2024 Aug 15;110(4):1-21. 042001. doi: 10.1103/PhysRevD.110.042001
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Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. in Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges. 2023. S. 31-36
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Stahl M, Düsterhus N, Chen MH, Wachsmuth H. Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. in Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. S. 4703-4717 doi: 10.48550/arXiv.2310.18098, 10.18653/v1/2023.findings-emnlp.312
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Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. in Proceedings of the 9th Workshop on Argument Mining. 2022. S. 111-114
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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. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics (ACL). 2022. S. 39-51. (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).
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