Research output per year
Research output per year
Personal profile
Research interests
My research is focused on natural language processing (how can computers produce, consume, manipulate and understand texts written in human languages) and machine learning (how to learn from examples). In particular, I am interested in statistical learning methods applied to language data. I focus on the “building blocks” of language: syntactic structure, meaning representation, and coreference resolution. Recently, I'm exploring neural network based approaches to language processing.
Research interests
My research is focused on natural language processing (how can computers produce, consume, manipulate and understand texts written in human languages) and machine learning (how to learn from examples). In particular, I am interested in statistical learning methods applied to language data. I focus on the “building blocks” of language: syntactic structure, meaning representation, and coreference resolution. Recently, I'm exploring neural network based approaches to language processing.
Education/Academic qualification
PhD, Ben-Gurion University of the Negev
Oct 2007 → Sep 2011
Award Date: 30 Sep 2011
Master, Ben-Gurion University of the Negev
Oct 2005 → Sep 2007
Award Date: 30 Sep 2007
Bachelor, Ben-Gurion University of the Negev
Oct 2002 → Sep 2005
Award Date: 30 Sep 2005
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Collaborations and top research areas from the last five years
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Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference
Baruch, M., Drucker, N., Ezov, G., Goldberg, Y., Kushnir, E., Lerner, J., Soceanu, O. & Zimerman, I., 2025, Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. Dolev, S., Elhadad, M., Kutyłowski, M. & Persiano, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-25 23 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference
Baruch, M., Drucker, N., Ezov, G., Goldberg, Y., Kushnir, E., Lerner, J., Soceanu, O. & Zimerman, I., 1 Jan 2025, Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. Dolev, S., Elhadad, M., Kutyłowski, M. & Persiano, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-25 23 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models
Shapira, N., Levy, M., Alavi, S. H., Zhou, X., Choi, Y., Goldberg, Y., Sap, M. & Shwartz, V., 1 Jan 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 2257-2273 17 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data Contamination Report from the 2024 CONDA Shared Task
Sainz, O., García-Ferrero, I., Jacovi, A., Campos, J. A., Elazar, Y., Agirre, E., Goldberg, Y., Chen, W. L., Chim, J., Choshen, L., D’Amico-Wong, L., Dell, M., Fan, R. Z., Golchin, S., Li, Y., Liu, P., Pahwa, B., Prabhu, A., Sharma, S. & Silcock, E. & 8 others, , 1 Jan 2024, CONDA 2024 - 1st Data Contamination Workshop, Proceedings of the Workshop. Sainz, O., Ferrero, I. G., Agirre, E., Campos, J. A., Jacovi, A., Elazar, Y. & Goldberg, Y. (eds.). Association for Computational Linguistics (ACL), p. 41-56 16 p. (CONDA 2024 - 1st Data Contamination Workshop, Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data-driven Coreference-based Ontology Building
Ashury-Tahan, S., Cohen, A. D. N., Cohen, N., Louzoun, Y. & Goldberg, Y., 1 Jan 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 14290-14300 11 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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