Maximilian Spliethöver
Maximilian Spliethöver
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If you ask nicely: a digital assistant rebuking impolite voice commands
M Bonfert, M Spliethöver, R Arzaroli, M Lange, M Hanci, R Porzel
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
M Spliethöver, J Klaff, H Heuer
arXiv preprint arXiv:1906.10068, 2019
Argument from Old Man's View: Assessing Social Bias in Argumentation
M Spliethöver, H Wachsmuth
Proceedings of the 7th Workshop on Argument Mining, 76--87, 2020
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
M Alshomary, T Gurcke, S Syed, P Heinrich, M Spliethöver, P Cimiano, ...
arXiv preprint arXiv:2109.15086, 2021
Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy
D Alexandrovsky, G Volkmar, M Spliethöver, S Finke, M Herrlich, T Döring, ...
Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 32-45, 2020
To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation
M Stahl, M Spliethöver, H Wachsmuth
Proceedings of the Fifth Workshop on Natural Language Processing and …, 2022
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.
M Spliethöver, H Wachsmuth
IJCAI, 552-559, 2021
Claim Optimization in Computational Argumentation
G Skitalinskaya, M Spliethöver, H Wachsmuth
arXiv preprint arXiv:2212.08913, 2022
CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction.
G Skitalinskaya, J Klaff, M Spliethöver
CLEF (Working Notes), 2019
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
M Spliethöver, M Keiff, H Wachsmuth
arXiv preprint arXiv:2211.03634, 2022
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