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.
26 Publications
2018 | Conference Paper | LibreCat-ID: 48304
Daxenberger, J., Eger, S., Habernal, I., Stab, C., & Gurevych, I. (2018). What is the Essence of a Claim? Cross-Domain Claim Identification. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/d17-1218
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 48305
Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., & Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/p17-2039
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 48306
Habernal, I., & Gurevych, I. (2016). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics, 43(1), 125–179. https://doi.org/10.1162/coli_a_00276
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48308
Habernal, I., Sukhareva, M., Raiber, F., Shtok, A., Kurland, O., Ronen, H., Bar-Ilan, J., & Gurevych, I. (2016). New Collection Announcement. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/2911451.2914682
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48307
Habernal, I., & Gurevych, I. (2016). 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). https://doi.org/10.18653/v1/p16-1150
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48309
Habernal, I., & Gurevych, I. (2016). 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. https://doi.org/10.18653/v1/d16-1129
LibreCat
| DOI