Eyal Shnarch

According to our database, Eyal Shnarch authored at least 36 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation.

Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen

CoRR, 2024

Genie: Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen

CoRR, 2024

Efficient Benchmarking (of Language Models).

Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-Efficient Model Selection for Text Generation.

Shir Ashury-Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers.

Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.

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

CoRR, 2022

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization.

Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim

CoRR, 2022

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns.

Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, Francesca Toni

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Zero-Shot Text Classification with Self-Training.

Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification.

Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

An autonomous debating system.

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, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains.

Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Active Learning for BERT: An Empirical Study.

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Corpus Wide Argument Mining - A Working Solution.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.

Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.

Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

GRASP: Rich Patterns for Argumentation Mining.

Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2013

PLIS: a Probabilistic Lexical Inference System.

Eyal Shnarch, Erel Segal-haLevi, Jacob Goldberger, Ido Dagan

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

A Probabilistic Lexical Model for Ranking Textual Inferences.

Eyal Shnarch, Ido Dagan, Jacob Goldberger

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

2011

Knowledge and Tree-Edits in Learnable Entailment Proofs.

Asher Stern, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Ido Dagan, Amnon Lotan, Jonathan Berant

Proceedings of the Fourth Text Analysis Conference, 2011

Towards a Probabilistic Model for Lexical Entailment.

Eyal Shnarch, Jacob Goldberger, Ido Dagan

Proceedings of the Workshop on Textual Entailment, 2011

A Probabilistic Modeling Framework for Lexical Entailment.

Eyal Shnarch, Jacob Goldberger, Ido Dagan

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

Rule Chaining and Approximate Match in textual inference.

Asher Stern, Eyal Shnarch, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Ido Dagan, Amnon Lotan, Jonathan Berant

Proceedings of the Third Text Analysis Conference, 2010

Recognising Entailment within Discourse.

Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch

Proceedings of the COLING 2010, 2010

2009

Addressing Discourse and Document Structure in the RTE Search Task.

Shachar Mirkin, Roy Bar-Haim, Ido Dagan, Eyal Shnarch, Asher Stern, Idan Szpektor, Jonathan Berant

Proceedings of the Second Text Analysis Conference, 2009

Text Categorization from Category Name via Lexical Reference.

Libby Barak, Ido Dagan, Eyal Shnarch

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Evaluating the Inferential Utility of Lexical-Semantic Resources.

Shachar Mirkin, Ido Dagan, Eyal Shnarch

Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Extracting Lexical Reference Rules from Wikipedia.

Eyal Shnarch, Libby Barak, Ido Dagan

Proceedings of the ACL 2009, 2009

2008

Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests.

Roy Bar-Haim, Ido Dagan, Shachar Mirkin, Eyal Shnarch, Idan Szpektor, Jonathan Berant, Iddo Greental

Proceedings of the First Text Analysis Conference, 2008

Natural Language as the Basis for Meaning Representation and Inference.

Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Greental, Eyal Shnarch

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2008

2007

Instance-based Evaluation of Entailment Rule Acquisition.

Idan Szpektor, Eyal Shnarch, Ido Dagan

Proceedings of the ACL 2007, 2007

Semantic Inference at the Lexical-Syntactic Level.

Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnarch

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Lexical Reference: a Semantic Matching Subtask.

Oren Glickman, Eyal Shnarch, Ido Dagan

Proceedings of the EMNLP 2006, 2006