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27 Publications
2023 | Conference Paper | LibreCat-ID: 48295
L. Bongard, L. Held, and I. Habernal, “The Legal Argument Reasoning Task in Civil Procedure,” 2023, doi: 10.18653/v1/2022.nllp-1.17.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48290
I. Habernal et al., “Mining legal arguments in court decisions,” Artificial Intelligence and Law, 2023, doi: 10.1007/s10506-023-09361-y.
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| DOI
2023 | Preprint | LibreCat-ID: 49649
T. Igamberdiev, D. N. L. Vu, F. Künnecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially-Private Machine Translation.” 2023.
LibreCat
2023 | Preprint | LibreCat-ID: 49650
L. Held and I. Habernal, “LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights.” 2023.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48299
T. Igamberdiev and I. Habernal, “Privacy-Preserving Graph Convolutional Networks for Text Classification,” in Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022, pp. 338–350.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48300
T. Igamberdiev, T. Arnold, and I. Habernal, “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 2927–2933.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48298
I. Habernal, “How reparametrization trick broke differentially-private text representation learning,” 2022, doi: 10.18653/v1/2022.acl-short.87.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 48286
I. Habernal, “When differential privacy meets NLP: The devil is in the detail,” 2021, doi: 10.18653/v1/2021.emnlp-main.114.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48301
M. Glockner, I. Habernal, and I. Gurevych, “Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision,” 2020, doi: 10.18653/v1/2020.findings-emnlp.97.
LibreCat
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2018 | Conference Paper | LibreCat-ID: 48303
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants,” 2018, doi: 10.18653/v1/n18-1175.
LibreCat
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2018 | Conference Paper | LibreCat-ID: 48302
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation,” 2018, doi: 10.18653/v1/n18-1036.
LibreCat
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2018 | Conference Paper | LibreCat-ID: 48304
J. Daxenberger, S. Eger, I. Habernal, C. Stab, and I. Gurevych, “What is the Essence of a Claim? Cross-Domain Claim Identification,” 2018, doi: 10.18653/v1/d17-1218.
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2017 | Conference Paper | LibreCat-ID: 48305
H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs. Practice,” 2017, doi: 10.18653/v1/p17-2039.
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2016 | Journal Article | LibreCat-ID: 48306
I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web Discourse,” Computational Linguistics, vol. 43, no. 1, pp. 125–179, 2016, doi: 10.1162/coli_a_00276.
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2016 | Conference Paper | LibreCat-ID: 48308
I. Habernal et al., “New Collection Announcement,” 2016, doi: 10.1145/2911451.2914682.
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2016 | Conference Paper | LibreCat-ID: 48307
I. Habernal and I. Gurevych, “Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM,” 2016, doi: 10.18653/v1/p16-1150.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48309
I. Habernal and I. Gurevych, “What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation,” 2016, doi: 10.18653/v1/d16-1129.
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