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Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.

R. Rinott, L. Dankin, C. Perez, M. Khapra, E. Aharoni, and N. Slonim. EMNLP, page 440-450. The Association for Computational Linguistics, (2015)

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Lena Teichmann University of Stuttgart

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Other publications of authors with the same name

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.R. Rinott, L. Dankin, C. Perez, M. Khapra, E. Aharoni, and N. Slonim. EMNLP, page 440-450. The Association for Computational Linguistics, (2015)A Dataset of General-Purpose Rebuttal.M. Orbach, Y. Bilu, A. Gera, Y. Kantor, L. Dankin, T. Lavee, L. Kotlerman, S. Mirkin, M. Jacovi, R. Aharonov and 1 other author(s). EMNLP/IJCNLP (1), page 5590-5600. Association for Computational Linguistics, (2019)A Hackathon for Classical Tibetan.O. Almogi, L. Dankin, N. Dershowitz, and L. Wolf. JDMDH, (2019)Stemming and Segmentation for Classical Tibetan.O. Almogi, L. Dankin, N. Dershowitz, Y. Hoffman, D. Pauls, D. Wangchuk, and L. Wolf. CICLing (1), volume 9623 of Lecture Notes in Computer Science, page 294-306. Springer, (2016)A Hackathon for Classical Tibetan.O. Almogi, L. Dankin, N. Dershowitz, and L. Wolf. CoRR, (2016)Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.N. Slonim, E. Aharoni, C. Alzate, R. Bar-Haim, Y. Bilu, L. Dankin, I. Eiron, D. Hershcovich, S. Hummel, M. Khapra and 10 other author(s). COLING (Demos), page 6-9. ACL, (2014)Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.E. Shnarch, C. Alzate, L. Dankin, M. Gleize, Y. Hou, L. Choshen, R. Aharonov, and N. Slonim. ACL (2), page 599-605. Association for Computational Linguistics, (2018)Corpus Wide Argument Mining - a Working Solution.L. Ein-Dor, E. Shnarch, L. Dankin, A. Halfon, B. Sznajder, A. Gera, C. Alzate, M. Gleize, L. Choshen, Y. Hou and 3 other author(s). CoRR, (2019)Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining.T. Lavee, M. Orbach, L. Kotlerman, Y. Kantor, S. Gretz, L. Dankin, S. Mirkin, M. Jacovi, Y. Bilu, R. Aharonov and 1 other author(s). CoRR, (2019)Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.M. Gleize, E. Shnarch, L. Choshen, L. Dankin, G. Moshkowich, R. Aharonov, and N. Slonim. ACL (1), page 967-976. Association for Computational Linguistics, (2019)