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27 Publications
2023 | Conference Paper | LibreCat-ID: 48295
Bongard L, Held L, Habernal I. The Legal Argument Reasoning Task in Civil Procedure. In: Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.nllp-1.17
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48290
Habernal I, Faber D, Recchia N, et al. Mining legal arguments in court decisions. Artificial Intelligence and Law. Published online 2023. doi:10.1007/s10506-023-09361-y
LibreCat
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2023 | Preprint | LibreCat-ID: 49649
Igamberdiev T, Vu DNL, Künnecke F, Yu Z, Holmer J, Habernal I. DP-NMT: Scalable Differentially-Private Machine Translation. Published online 2023.
LibreCat
2023 | Preprint | LibreCat-ID: 49650
Held L, Habernal I. LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights. Published online 2023.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48299
Igamberdiev T, Habernal I. Privacy-Preserving Graph Convolutional Networks for Text Classification. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference. European Language Resources Association; 2022:338–350.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48300
Igamberdiev T, Arnold T, Habernal I. DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. In: Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics; 2022:2927–2933.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48298
Habernal I. How reparametrization trick broke differentially-private text representation learning. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics; 2022. doi:10.18653/v1/2022.acl-short.87
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2021 | Conference Paper | LibreCat-ID: 48286
Habernal I. When differential privacy meets NLP: The devil is in the detail. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2021. doi:10.18653/v1/2021.emnlp-main.114
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2020 | Conference Paper | LibreCat-ID: 48301
Glockner M, Habernal I, Gurevych I. Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. In: Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics; 2020. doi:10.18653/v1/2020.findings-emnlp.97
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2018 | Conference Paper | LibreCat-ID: 48303
Habernal I, Wachsmuth H, Gurevych I, Stein B. The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). Association for Computational Linguistics; 2018. doi:10.18653/v1/n18-1175
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2018 | Conference Paper | LibreCat-ID: 48302
Habernal I, Wachsmuth H, Gurevych I, Stein B. Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). Association for Computational Linguistics; 2018. doi:10.18653/v1/n18-1036
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2018 | Conference Paper | LibreCat-ID: 48304
Daxenberger J, Eger S, Habernal I, Stab C, Gurevych I. What is the Essence of a Claim? Cross-Domain Claim Identification. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2018. doi:10.18653/v1/d17-1218
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2017 | Conference Paper | LibreCat-ID: 48305
Wachsmuth H, Naderi N, Habernal I, et al. Argumentation Quality Assessment: Theory vs. Practice. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics; 2017. doi:10.18653/v1/p17-2039
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2016 | Journal Article | LibreCat-ID: 48306
Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse. Computational Linguistics. 2016;43(1):125-179. doi:10.1162/coli_a_00276
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2016 | Conference Paper | LibreCat-ID: 48308
Habernal I, Sukhareva M, Raiber F, et al. New Collection Announcement. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM; 2016. doi:10.1145/2911451.2914682
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2016 | Conference Paper | LibreCat-ID: 48307
Habernal I, Gurevych I. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics; 2016. doi:10.18653/v1/p16-1150
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2016 | Conference Paper | LibreCat-ID: 48309
Habernal I, Gurevych I. What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2016. doi:10.18653/v1/d16-1129
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