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26 Publications


2024 | Conference Paper | LibreCat-ID: 52827
Hu, Lijie, Ivan Habernal, Lei Shen, and Di Wang. “Differentially Private Natural Language Models: Recent Advances and Future Directions.” In Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, edited by Yvette Graham and Matthew Purver, 478–499. Association for Computational Linguistics, 2024.
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2024 | Conference Paper | LibreCat-ID: 52842
Igamberdiev, Timour, Doan Nam Long Vu, Felix Kuennecke, Zhuo Yu, Jannik Holmer, and Ivan Habernal. “DP-NMT: Scalable Differentially Private Machine Translation.” In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, edited by Nikolaos Aletras and Orphee De Clercq, 94–105. St. Julians, Malta: Association for Computational Linguistics, 2024.
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2023 | Conference Paper | LibreCat-ID: 48289
Habernal, Ivan, Fatemehsadat Mireshghallah, Patricia Thaine, Sepideh Ghanavati, and Oluwaseyi Feyisetan. “Privacy-Preserving Natural Language Processing.” In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.eacl-tutorials.6.
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2023 | Conference Paper | LibreCat-ID: 48288
Matzken, Cleo, Steffen Eger, and Ivan Habernal. “Trade-Offs Between Fairness and Privacy in Language Modeling.” In Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-acl.434.
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2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad, Nina, Johannes Daxenberger, Benjamin Schiller, and Ivan Habernal. “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting.” In Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.law-1.8.
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2023 | Conference Paper | LibreCat-ID: 48296
Yin, Ying, and Ivan Habernal. “Privacy-Preserving Models for Legal Natural Language Processing.” In Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2022.nllp-1.14.
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2023 | Journal Article | LibreCat-ID: 48294
Sawhney, Ramit, Atula Neerkaje, Ivan Habernal, and Lucie Flek. “How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications.” Proceedings of the International AAAI Conference on Web and Social Media 17 (2023): 766–76. https://doi.org/10.1609/icwsm.v17i1.22186.
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2023 | Conference Paper | LibreCat-ID: 48297
Senge, Manuel, Timour Igamberdiev, and Ivan Habernal. “One Size Does Not Fit All: Investigating Strategies for Differentially-Private Learning across NLP Tasks.” In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2022.emnlp-main.496.
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2023 | Conference Paper | LibreCat-ID: 48292
Igamberdiev, Timour, and Ivan Habernal. “DP-BART for Privatized Text Rewriting under Local Differential Privacy.” In Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-acl.874.
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2023 | Conference Paper | LibreCat-ID: 48295
Bongard, Leonard, Lena Held, and Ivan Habernal. “The Legal Argument Reasoning Task in Civil Procedure.” In Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2022.nllp-1.17.
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2023 | Journal Article | LibreCat-ID: 48290
Habernal, Ivan, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, and Christoph Burchard. “Mining Legal Arguments in Court Decisions.” Artificial Intelligence and Law, 2023. https://doi.org/10.1007/s10506-023-09361-y.
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2023 | Preprint | LibreCat-ID: 49649
Igamberdiev, Timour, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, and Ivan Habernal. “DP-NMT: Scalable Differentially-Private Machine Translation,” 2023.
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2023 | Preprint | LibreCat-ID: 49650
Held, Lena, and Ivan Habernal. “LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights,” 2023.
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2022 | Conference Paper | LibreCat-ID: 48299
Igamberdiev, Timour, and Ivan Habernal. “Privacy-Preserving Graph Convolutional Networks for Text Classification.” In Proceedings of the Thirteenth Language Resources and Evaluation Conference, 338–350. Marseille, France: European Language Resources Association, 2022.
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2022 | Conference Paper | LibreCat-ID: 48300
Igamberdiev, Timour, Thomas Arnold, and Ivan Habernal. “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting.” In Proceedings of the 29th International Conference on Computational Linguistics, 2927–2933. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.
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2022 | Conference Paper | LibreCat-ID: 48298
Habernal, Ivan. “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. https://doi.org/10.18653/v1/2022.acl-short.87.
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2021 | Conference Paper | LibreCat-ID: 48286
Habernal, Ivan. “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. https://doi.org/10.18653/v1/2021.emnlp-main.114.
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2020 | Conference Paper | LibreCat-ID: 48301
Glockner, Max, Ivan Habernal, and Iryna Gurevych. “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. https://doi.org/10.18653/v1/2020.findings-emnlp.97.
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2018 | Conference Paper | LibreCat-ID: 48303
Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “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. https://doi.org/10.18653/v1/n18-1175.
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2018 | Conference Paper | LibreCat-ID: 48302
Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “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. https://doi.org/10.18653/v1/n18-1036.
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