M. Stahl, M. Spliethöver, and H. Wachsmuth, “To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation,” presented at the Fifth Workshop on NLP and Computational Social Science (NLP+CSS)  At EMNLP 2022, Abu Dhabi, United Arab Emirates.

M. Spliethöver and H. Wachsmuth, “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models,”10.24963/ijcai.2021/77__in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, Online, 2021, pp. 552–559, doi:10.24963/ijcai.2021/77 .

M. Alshomary et al., “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.

M. Spliethöver and H. Wachsmuth, “Argument from Old Man’s View: Assessing Social Bias in Argumentation,” in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.

D. Alexandrovsky et al., “Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy,” in Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2020, pp. 32–45.

M. Spliethöver, J. Klaff, and H. Heuer, “Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation,” in Proceedings of the 6th Workshop on Argument Mining, Florence, Italy, 2019, pp. 74–82.

G. Skitalinskaya, J. Klaû00, and M. Spliethöver, CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction, vol. 2380. Lugano, Switzerland, 2019.

M. Bonfert, M. Spliethöver, R. Arzaroli, M. Lange, M. Hanci, and R. Porzel, “If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands,” in Proceedings of the 20th ACM International Conference on Multimodal Interaction, 2018.