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Publikationen

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  1. Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem

    In: Marianna Apidianaki; Hend Al-Khalifa; Barbara Di Eugenio; Steven Schockaert (Hrsg.). 31th International Conference on Computational Linguistics 2025. International Conference on Computational Linguistics (COLING-2025), January 19-24, Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, 2025.

  2. Evaluating the Robustness of Adverse Drug Event Classification Models using Templates

    In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP-2024), located at ACL 2024, Pages 25-38, Association for Computational Linguistics, 8/2024.

  3. Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

    In: The 62nd Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2024), Findings of the Association for Computational Linguistics, August 11-16, Bangkok, Thailand, Association for Computational Linguistics, 2024.

  4. DFKI-MLST at DialAM-2024 Shared Task: System Description

    In: Yamen Ajjour; Roy Bar-Haim; Roxanne El Baff; Zhexiong Liu; Gabriella Skitalinskaya (Hrsg.). Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024). ACL Workshop on Argument Mining (ArgMining-2024), located at The 62nd Annual Meeting of the Association for Computational Linguistics, August 15, Bangkok, Thailand, Pages 93-102, Association for Computational Linguistics, 2024.

  5. Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models

    In: Proceedings of the 17th International Natural Language Generation Conference. International Natural Language Generation Conference (INLG-2024), Tokyo, Japan, Association for Computational Linguistics, 2024.

  6. CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung (Vivian) Chen (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP-2024), November 11-16, Miami, Florida, USA, Association for Computational Linguistics, 2024.