27 Publications
2024 | Conference Paper | LibreCat-ID: 52827
Hu, Lijie, et al. “Differentially Private Natural Language Models: Recent Advances and Future Directions.” Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, edited by Yvette Graham and Matthew Purver, Association for Computational Linguistics, 2024, pp. 478–499.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52842
Igamberdiev, Timour, et al. “DP-NMT: Scalable Differentially Private Machine Translation.” 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, Association for Computational Linguistics, 2024, pp. 94–105.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52841
Büttner, Marius, and Ivan Habernal. “Answering Legal Questions from Laymen in German Civil Law System.” Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), edited by Yvette Graham and Matthew Purver, Association for Computational Linguistics, 2024, pp. 2015–2027.
LibreCat
2023 | Conference Paper | LibreCat-ID: 48289
Habernal, Ivan, et al. “Privacy-Preserving Natural Language Processing.” Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.eacl-tutorials.6.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48288
Matzken, Cleo, et al. “Trade-Offs Between Fairness and Privacy in Language Modeling.” Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.findings-acl.434.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad, Nina, et al. “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting.” Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.law-1.8.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48296
Yin, Ying, and Ivan Habernal. “Privacy-Preserving Models for Legal Natural Language Processing.” Proceedings of the Natural Legal Language Processing Workshop 2022, Association for Computational Linguistics, 2023, doi:10.18653/v1/2022.nllp-1.14.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48294
Sawhney, Ramit, et al. “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, vol. 17, Association for the Advancement of Artificial Intelligence (AAAI), 2023, pp. 766–76, doi:10.1609/icwsm.v17i1.22186.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48297
Senge, Manuel, et al. “One Size Does Not Fit All: Investigating Strategies for Differentially-Private Learning across NLP Tasks.” Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2023, doi:10.18653/v1/2022.emnlp-main.496.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48292
Igamberdiev, Timour, and Ivan Habernal. “DP-BART for Privatized Text Rewriting under Local Differential Privacy.” Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.findings-acl.874.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48295
Bongard, Leonard, et al. “The Legal Argument Reasoning Task in Civil Procedure.” 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, Ivan, et al. “Mining Legal Arguments in Court Decisions.” Artificial Intelligence and Law, Springer Science and Business Media LLC, 2023, doi:10.1007/s10506-023-09361-y.
LibreCat
| DOI
2023 | Preprint | LibreCat-ID: 49649
Igamberdiev, Timour, et al. DP-NMT: Scalable Differentially-Private Machine Translation. 2023.
LibreCat
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.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48299
Igamberdiev, Timour, and Ivan Habernal. “Privacy-Preserving Graph Convolutional Networks for Text Classification.” Proceedings of the Thirteenth Language Resources and Evaluation Conference, European Language Resources Association, 2022, pp. 338–350.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48300
Igamberdiev, Timour, et al. “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting.” Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2022, pp. 2927–2933.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48298
Habernal, Ivan. “How Reparametrization Trick Broke Differentially-Private Text Representation Learning.” 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.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 48286
Habernal, Ivan. “When Differential Privacy Meets NLP: The Devil Is in the Detail.” 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.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48301
Glockner, Max, et al. “Why Do You Think That? Exploring Faithful Sentence-Level Rationales Without Supervision.” Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, 2020, doi:10.18653/v1/2020.findings-emnlp.97.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48303
Habernal, Ivan, et al. “The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants.” 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.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48302
Habernal, Ivan, et al. “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation.” 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.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48304
Daxenberger, Johannes, et al. “What Is the Essence of a Claim? Cross-Domain Claim Identification.” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2018, doi:10.18653/v1/d17-1218.
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 48305
Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.” 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.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 48306
Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” Computational Linguistics, vol. 43, no. 1, MIT Press, 2016, pp. 125–79, doi:10.1162/coli_a_00276.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48308
Habernal, Ivan, et al. “New Collection Announcement.” Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2016, doi:10.1145/2911451.2914682.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48307
Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” 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.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48309
Habernal, Ivan, and Iryna Gurevych. “What Makes a Convincing Argument? Empirical Analysis and Detecting Attributes of Convincingness in Web Argumentation.” Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2016, doi:10.18653/v1/d16-1129.
LibreCat
| DOI
27 Publications
2024 | Conference Paper | LibreCat-ID: 52827
Hu, Lijie, et al. “Differentially Private Natural Language Models: Recent Advances and Future Directions.” Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, edited by Yvette Graham and Matthew Purver, Association for Computational Linguistics, 2024, pp. 478–499.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52842
Igamberdiev, Timour, et al. “DP-NMT: Scalable Differentially Private Machine Translation.” 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, Association for Computational Linguistics, 2024, pp. 94–105.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52841
Büttner, Marius, and Ivan Habernal. “Answering Legal Questions from Laymen in German Civil Law System.” Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), edited by Yvette Graham and Matthew Purver, Association for Computational Linguistics, 2024, pp. 2015–2027.
LibreCat
2023 | Conference Paper | LibreCat-ID: 48289
Habernal, Ivan, et al. “Privacy-Preserving Natural Language Processing.” Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.eacl-tutorials.6.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48288
Matzken, Cleo, et al. “Trade-Offs Between Fairness and Privacy in Language Modeling.” Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.findings-acl.434.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad, Nina, et al. “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting.” Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.law-1.8.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48296
Yin, Ying, and Ivan Habernal. “Privacy-Preserving Models for Legal Natural Language Processing.” Proceedings of the Natural Legal Language Processing Workshop 2022, Association for Computational Linguistics, 2023, doi:10.18653/v1/2022.nllp-1.14.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48294
Sawhney, Ramit, et al. “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, vol. 17, Association for the Advancement of Artificial Intelligence (AAAI), 2023, pp. 766–76, doi:10.1609/icwsm.v17i1.22186.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48297
Senge, Manuel, et al. “One Size Does Not Fit All: Investigating Strategies for Differentially-Private Learning across NLP Tasks.” Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2023, doi:10.18653/v1/2022.emnlp-main.496.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48292
Igamberdiev, Timour, and Ivan Habernal. “DP-BART for Privatized Text Rewriting under Local Differential Privacy.” Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.findings-acl.874.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48295
Bongard, Leonard, et al. “The Legal Argument Reasoning Task in Civil Procedure.” 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, Ivan, et al. “Mining Legal Arguments in Court Decisions.” Artificial Intelligence and Law, Springer Science and Business Media LLC, 2023, doi:10.1007/s10506-023-09361-y.
LibreCat
| DOI
2023 | Preprint | LibreCat-ID: 49649
Igamberdiev, Timour, et al. DP-NMT: Scalable Differentially-Private Machine Translation. 2023.
LibreCat
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.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48299
Igamberdiev, Timour, and Ivan Habernal. “Privacy-Preserving Graph Convolutional Networks for Text Classification.” Proceedings of the Thirteenth Language Resources and Evaluation Conference, European Language Resources Association, 2022, pp. 338–350.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48300
Igamberdiev, Timour, et al. “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting.” Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2022, pp. 2927–2933.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48298
Habernal, Ivan. “How Reparametrization Trick Broke Differentially-Private Text Representation Learning.” 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.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 48286
Habernal, Ivan. “When Differential Privacy Meets NLP: The Devil Is in the Detail.” 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.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48301
Glockner, Max, et al. “Why Do You Think That? Exploring Faithful Sentence-Level Rationales Without Supervision.” Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, 2020, doi:10.18653/v1/2020.findings-emnlp.97.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48303
Habernal, Ivan, et al. “The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants.” 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.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48302
Habernal, Ivan, et al. “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation.” 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.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48304
Daxenberger, Johannes, et al. “What Is the Essence of a Claim? Cross-Domain Claim Identification.” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2018, doi:10.18653/v1/d17-1218.
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 48305
Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.” 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.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 48306
Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” Computational Linguistics, vol. 43, no. 1, MIT Press, 2016, pp. 125–79, doi:10.1162/coli_a_00276.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48308
Habernal, Ivan, et al. “New Collection Announcement.” Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2016, doi:10.1145/2911451.2914682.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48307
Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” 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.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48309
Habernal, Ivan, and Iryna Gurevych. “What Makes a Convincing Argument? Empirical Analysis and Detecting Attributes of Convincingness in Web Argumentation.” Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2016, doi:10.18653/v1/d16-1129.
LibreCat
| DOI