Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
27 Publications
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