| Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts TYS Santosh, S Xu, O Ichim, M Grabmair Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 14 | 2022 |
| Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance A Agarwal, S Xu, M Grabmair Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 11 | 2022 |
| From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification S Xu, TYSS Santosh, O Ichim, I Risini, B Plank, M Grabmair Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights S Xu, L Staufer, TYSS Santosh, O Ichim, C Heri, M Grabmair Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| Uncovering Trauma in Genocide Tribunals: An NLP Approach Using the Genocide Transcript Corpus M Schirmer, IMO Nolasco, E Mosca, S Xu, J Pfeffer Proceedings of the Nineteenth International Conference on Artificial …, 2023 | 2 | 2023 |
| Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers S Xu, I Broda, R Haddad, M Negrini, M Grabmair arXiv preprint arXiv:2211.15556, 2022 | 1 | 2022 |
| The Chinese Causative-Passive Homonymy Disambiguation: an Adversarial Dataset for NLI and a Probing Task S Xu, K Markert Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 1 | 2022 |
| Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification S Xu, TYS Santosh, O Ichim, B Plank, M Grabmair arXiv preprint arXiv:2402.07214, 2024 | | 2024 |
Santosh T.Y.S.STechnical University of MunichVerified email at tum.de
