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Natural Language Processing Lab

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    Bar Ilan University , Computer Science department, Science Faculty | Room 280 / Building 216

    5290002 Ramat Gan

    Israel

Organization profile

Organization profile

Natural language processing lets computers analyze and “understand” human language texts, utilizing methods that combine advanced computer science algorithms with linguistic knowledge. The research group in natural language processing at Bar Ilan University is led by Prof. Ido Dagan,  Prof. Yoav Goldberg and Prof. Reut Tsarfaty.

Our research interests include the applied semantic domain with particular focus on performing semantic inferences on top of textual data, as well as infrastructure algorithms in language processing with focus on syntactic parsing. The Textual Entailment paradigm was introduced by our lab. 

Our research interests include the applied semantic domain with particular focus on performing semantic inferences on top of textual data, as well as infrastructure algorithms in language processing with focus on syntactic parsing. The Textual Entailment paradigm was introduced by our lab.

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  • Effective QA-driven Annotation of Predicate-Argument Relations Across Languages

    Davidov, J., Slobodkin, A., Klein, S. T., Tsarfaty, R., Dagan, I. & Klein, A., 2026, Long Papers. Demberg, V., Inui, K. & Marquez Villodre, L. (eds.). Association for Computational Linguistics (ACL), p. 2484-2502 19 p. (EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1 - (Long Papers); vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Localizing Factual Inconsistencies in Attributable Text Generation

    Cattan, A., Roit, P., Zhang, S., Wan, D., Aharoni, R., Szpektor, I., Bansal, M. & Dagan, I., 2026, In: Transactions of the Association for Computational Linguistics. 14, p. 100-123 24 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • User-Centric Evidence Ranking for Attribution and Fact Verification

    Alt, G., Hirsch, E., Basch, S., Dagan, I. & Glickman, O., 2026, Long Papers. Demberg, V., Inui, K. & Marquez Villodre, L. (eds.). Association for Computational Linguistics (ACL), p. 7215-7237 23 p. (EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1 - (Long Papers); vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
View all 44 Research outputs