InstituteStaff
Maximilian Spliethöver
Maximilian Spliethöver, M. Sc.
Address
Appelstraße 9a
30167 Hannover
Building
Room
Maximilian Spliethöver, M. Sc.
Address
Appelstraße 9a
30167 Hannover
Building
Room

Research Interests

Publications


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) Association for Computational Linguistics.

aclanthology.org/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 Association for Computational Linguistics (ACL).

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, (pp. 184-189). Association for Computational Linguistics (ACL).

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 (Ed.), Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 (pp. 552-559). (IJCAI International Joint Conference on Artificial Intelligence). AAAI Press/International Joint Conferences on Artificial Intelligence.

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 (pp. 32-45). Association for Computing Machinery, Inc.

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 (Eds.), Proceedings of the 7th Workshop on Argument Mining (pp. 76-87). Association for Computational Linguistics (ACL).

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. CEUR Workshop Proceedings, 2380.

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 (Eds.), Proceedings of the 6th Workshop on Argument Mining (pp. 74-82). Association for Computational Linguistics.

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 (pp. 95-102). Association for Computing Machinery (ACM).

doi.org/10.1145/3242969.3242995