Porträt von Maximilian Spiethöver, Doktorand, lächelnd vor einem neutralen Hintergrund, mit einem hellen Hemd. Porträt von Maximilian Spiethöver, Doktorand, lächelnd vor einem neutralen Hintergrund, mit einem hellen Hemd.
Maximilian Spliethöver, M. Sc.
Adresse
Welfengarten 1
30167 Hannover
Gebäude
Raum
Porträt von Maximilian Spiethöver, Doktorand, lächelnd vor einem neutralen Hintergrund, mit einem hellen Hemd. Porträt von Maximilian Spiethöver, Doktorand, lächelnd vor einem neutralen Hintergrund, mit einem hellen Hemd.
Maximilian Spliethöver, M. Sc.
Adresse
Welfengarten 1
30167 Hannover
Gebäude
Raum

Research Interests

Publications

Zeige Ergebnisse 1 - 12 von 12

2025


Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E., & Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Band 1). Association for Computational Linguistics. https://aclanthology.org/2025.naacl-long.122.pdf

2024


Spliethöver, M., Menon, S. N., & Wachsmuth, H. (2024). Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness. In L.-W. Ku, A. Martins, & V. Srikumar (Hrsg.), Findings of the Association for Computational Linguistics ACL 2024 (S. 9294-9313). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). https://doi.org/10.18653/v1/2024.findings-acl.553

2023


Skitalinskaya, G., Spliethöver, M., & Wachsmuth, H. (2023). Claim Optimization in Computational Argumentation. In C. M. Keet, H.-Y. Lee, & S. Zarrieß (Hrsg.), Proceedings of the 16th International Natural Language Generation Conference (S. 134-152). Association for Computational Linguistics (ACL). https://doi.org/10.48550/arXiv.2212.08913, https://doi.org/10.18653/v1/2023.inlg-main.10

2022


Spliethöver, M., Keiff, M., & Wachsmuth, H. (2022). No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) (S. 2081-2093). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.findings-emnlp.152
Stahl, M., Spliethöver, M., & Wachsmuth, H. (2022). 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 (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). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.nlpcss-1.6/

2021


Alshomary, M., Gurke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In Proceedings of The 8th Workshop on Argument Mining, (S. 184-189). Association for Computational Linguistics (ACL). https://aclanthology.org/2021.argmining-1.19.pdf
Spliethöver, M., & Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In Z.-H. Zhou (Hrsg.), Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 (S. 552-559). (IJCAI International Joint Conference on Artificial Intelligence). AAAI Press/International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/77

2020


Alexandrovsky, D., Volkmar, G., Spliethöver, M., Finke, S., Herrlich, M., Döring, T., Smeddinck, J. D., & Malaka, R. (2020). Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy. In CHI PLAY 2020 - Proceedings of the Annual Symposium on Computer-Human Interaction in Play (S. 32-45). Association for Computing Machinery, Inc. https://doi.org/10.1145/3410404.3414222
Spliethöver, M., & Wachsmuth, H. (2020). Argument from Old Man's View: Assessing Social Bias in Argumentation. In E. Cabrio, & S. Villata (Hrsg.), Proceedings of the 7th Workshop on Argument Mining (S. 76-87). Association for Computational Linguistics (ACL). https://aclanthology.org/2020.argmining-1.9

2019


Skitalinskaya, G., Klaff, J., & Spliethöver, M. (2019). CLEF ProtestNews Lab 2019: Contextualized word embeddings for event sentence detection and event extraction. In CLEF 2019 Working Notes: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum (CEUR Workshop Proceedings; Band 2380). https://ceur-ws.org/Vol-2380/paper_118.pdf
Spliethöver, M., Klaff, J., & Heuer, H. (2019). Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation. In B. Stein, & H. Wachsmuth (Hrsg.), Proceedings of the 6th Workshop on Argument Mining (S. 74-82). Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4509

2018


Bonfert, M., Spliethöver, M., Arzaroli, R., Lange, M., Hanci, M., & Porzel, R. (2018). If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands. In Proceedings of the 20th ACM International Conference on Multimodal Interaction (S. 95-102). Association for Computing Machinery (ACM). https://doi.org/10.1145/3242969.3242995