Lena Dankin
Lena Dankin
TAU & IBM Research
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A hackathon for classical Tibetan
O Almogi, L Dankin, N Dershowitz, L Wolf
Journal of Data Mining & Digital Humanities, 2019
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
Overview of the 2021 key point analysis shared task
R Friedman-Melamed, L Dankin, Y Hou, R Aharonov, Y Katz, N Slonim
Conference on Empirical Methods in Natural Language Processing, 2021
Automatic metaphor interpretation using word embeddings
K Bar, N Dershowitz, L Dankin
arXiv preprint arXiv:2010.02665, 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
Can Yes-No Question-Answering Models be Useful for Few-Shot Metaphor Detection?
L Dankin, K Bar, N Dershowitz
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), 125-130, 2022
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