| Show me your evidence-an automatic method for context dependent evidence detection R Rinott, L Dankin, C Alzate, MM Khapra, E Aharoni, N Slonim Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 266 | 2015 |
| Active learning for BERT: an empirical study LE Dor, A Halfon, A Gera, E Shnarch, L Dankin, L Choshen, M Danilevsky, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 157 | 2020 |
| An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 153 | 2021 |
| Are you convinced? choosing the more convincing evidence with a Siamese network M Gleize, E Shnarch, L Choshen, L Dankin, G Moshkowich, R Aharonov, ... arXiv preprint arXiv:1907.08971, 2019 | 69 | 2019 |
| 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, ... Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 68 | 2018 |
| Corpus wide argument mining—a working solution L Ein-Dor, E Shnarch, L Dankin, A Halfon, B Sznajder, A Gera, C Alzate, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7683-7691, 2020 | 60 | 2020 |
| Financial event extraction using Wikipedia-based weak supervision L Ein-Dor, A Gera, O Toledo-Ronen, A Halfon, B Sznajder, L Dankin, ... arXiv preprint arXiv:1911.10783, 2019 | 27 | 2019 |
| A dataset of general-purpose rebuttal M Orbach, Y Bilu, A Gera, Y Kantor, L Dankin, T Lavee, L Kotlerman, ... arXiv preprint arXiv:1909.00393, 2019 | 23 | 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, ... arXiv preprint arXiv:1907.11889, 2019 | 16 | 2019 |
| Cluster & tune: Boost cold start performance in text classification E Shnarch, A Gera, A Halfon, L Dankin, L Choshen, R Aharonov, ... arXiv preprint arXiv:2203.10581, 2022 | 11 | 2022 |
| 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, ... Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 11 | 2014 |
| Label Sleuth: From unlabeled text to a classifier in a few hours E Shnarch, A Halfon, A Gera, M Danilevsky, Y Katsis, L Choshen, ... arXiv preprint arXiv:2208.01483, 2022 | 8 | 2022 |
| Overview of the 2021 key point analysis shared task R Friedman, L Dankin, Y Hou, R Aharonov, Y Katz, N Slonim arXiv preprint arXiv:2110.10577, 2021 | 7 | 2021 |
| A hackathon for classical Tibetan O Almogi, L Dankin, N Dershowitz, L Wolf Journal of Data Mining & Digital Humanities, 2019 | 5 | 2019 |
| Fortunately, discourse markers can enhance language models for sentiment analysis L Ein-Dor, I Shnayderman, A Spector, L Dankin, R Aharonov, N Slonim Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10608 …, 2022 | 3 | 2022 |
| Automatic metaphor interpretation using word embeddings K Bar, N Dershowitz, L Dankin arXiv preprint arXiv:2010.02665, 2020 | 3 | 2020 |
| Context-dependent evidence detection E Aharoni, L Dankin, D Gutfreund, T Lavee, R Levy, R Rinott, N Slonim US Patent 10,013,482, 2018 | 3 | 2018 |
| Stemming and segmentation for Classical Tibetan O Almogi, L Dankin, N Dershowitz, Y Hoffman, D Pauls, D Wangchuk, ... Computational Linguistics and Intelligent Text Processing: 17th …, 2018 | 3 | 2018 |
| Metaphor interpretation using word embeddings K Bar, N Dershowitz, L Dankin Computación y Sistemas 26 (3), 1301-1311, 2022 | 2 | 2022 |
| Cluster & tune: Enhance bert performance in low resource text classification E Shnarch, A Gera, A Halfon, L Dankin, L Choshen, R Aharonov, ... | 2 | 2020 |
