Publications

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Jonathan Kamp, Lisa Beinborn, and Antske Fokkens. 2025. Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025), pages 3028–3044, Mumbai, India.

Jonathan Kamp, Roos Bakker, and Dominique Blok. 2025. Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution.

Jonathan Kamp, Lisa Beinborn, and Antske Fokkens. 2024. The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 16066–16078, Torino, Italia. ELRA and ICCL.

Jonathan Kamp, Lisa Beinborn, and Antske Fokkens. 2023. Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 6190–6197, Singapore. Association for Computational Linguistics.

Jonathan Kamp, Lisa Beinborn, and Antske Fokkens. 2022. Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition. In Proceedings of the 9th Workshop on Argument Mining, pages 62–73, Online and in Gyeongju, Republic of Korea. International Conference on Computational Linguistics.