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Lena Dankin
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2020 – today
- 2024
- [i11]Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim:
Conversational Prompt Engineering. CoRR abs/2408.04560 (2024) - 2023
- [c13]Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor:
Zero-shot Topical Text Classification with LLMs - an Experimental Study. EMNLP (Findings) 2023: 9647-9676 - 2022
- [j3]Kfir Bar, Nachum Dershowitz, Lena Dankin:
Metaphor Interpretation Using Word Embeddings. Computación y Sistemas 26(3) (2022) - [c12]Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. AAAI 2022: 10608-10617 - [c11]Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim:
Cluster & Tune: Boost Cold Start Performance in Text Classification. ACL (1) 2022: 7639-7653 - [i10]Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. CoRR abs/2201.02026 (2022) - [i9]Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim:
Cluster & Tune: Boost Cold Start Performance in Text Classification. CoRR abs/2203.10581 (2022) - [i8]Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz:
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR abs/2208.01483 (2022) - 2021
- [j2]Noam Slonim
, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy
An autonomous debating system. Nat. 591(7850): 379-384 (2021) - [c10]Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim:
Overview of the 2021 Key Point Analysis Shared Task. ArgMining@EMNLP 2021: 154-164 - [i7]Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim:
Overview of the 2021 Key Point Analysis Shared Task. CoRR abs/2110.10577 (2021) - 2020
- [c9]Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Corpus Wide Argument Mining - A Working Solution. AAAI 2020: 7683-7691 - [c8]Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim:
Active Learning for BERT: An Empirical Study. EMNLP (1) 2020: 7949-7962 - [i6]Kfir Bar, Nachum Dershowitz, Lena Dankin:
Automatic Metaphor Interpretation Using Word Embeddings. CoRR abs/2010.02665 (2020)
2010 – 2019
- 2019
- [j1]Orna Almogi, Lena Dankin, Nachum Dershowitz, Lior Wolf:
A Hackathon for Classical Tibetan. J. Data Min. Digit. Humanit. 2019 (2019) - [c7]Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. ACL (1) 2019: 967-976 - [c6]Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. ArgMining@ACL 2019: 58-66 - [c5]Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim:
A Dataset of General-Purpose Rebuttal. EMNLP/IJCNLP (1) 2019: 5590-5600 - [i5]Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. CoRR abs/1907.08971 (2019) - [i4]Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. CoRR abs/1907.11889 (2019) - [i3]Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim:
A Dataset of General-Purpose Rebuttal. CoRR abs/1909.00393 (2019) - [i2]Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Corpus Wide Argument Mining - a Working Solution. CoRR abs/1911.10763 (2019) - 2018
- [c4]Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim:
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. ACL (2) 2018: 599-605 - 2016
- [c3]Orna Almogi, Lena Dankin, Nachum Dershowitz, Yair Hoffman, Dimitri Pauls, Dorji Wangchuk, Lior Wolf:
Stemming and Segmentation for Classical Tibetan. CICLing (1) 2016: 294-306 - [i1]Orna Almogi, Lena Dankin, Nachum Dershowitz, Lior Wolf:
A Hackathon for Classical Tibetan. CoRR abs/1609.08389 (2016) - 2015
- [c2]Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim:
Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. EMNLP 2015: 440-450 - 2014
- [c1]Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund:
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) 2014: 6-9
Coauthor Index
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