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26 Publications


2018 | Conference Paper | LibreCat-ID: 48304
Daxenberger, Johannes, Steffen Eger, Ivan Habernal, Christian Stab, and Iryna Gurevych. “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. https://doi.org/10.18653/v1/d17-1218.
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2017 | Conference Paper | LibreCat-ID: 48305
Wachsmuth, Henning, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, and Benno Stein. “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. https://doi.org/10.18653/v1/p17-2039.
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2016 | Journal Article | LibreCat-ID: 48306
Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” Computational Linguistics 43, no. 1 (2016): 125–79. https://doi.org/10.1162/coli_a_00276.
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2016 | Conference Paper | LibreCat-ID: 48308
Habernal, Ivan, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, and Iryna Gurevych. “New Collection Announcement.” In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2016. https://doi.org/10.1145/2911451.2914682.
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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.” In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2016. https://doi.org/10.18653/v1/p16-1150.
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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.” In Proceedings of the 2016 Conference on Empirical Methods in Natural          Language Processing. Association for Computational Linguistics, 2016. https://doi.org/10.18653/v1/d16-1129.
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