Research output per year
Research output per year
Organization profile
Organisation 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.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Dagan Ido
- Bar-Ilan University, Department of Computer Science - Head of the Department of Computer Science, Full Professor
- Bar-Ilan University, DSAI - Data Science & AI Institute
- Bar-Ilan University, Natural Language Processing Lab
Person: Researcher, Academic
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Goldberg Yoav
- Bar-Ilan University, Department of Computer Science - Full Professor
- Bar-Ilan University, Natural Language Processing Lab
Person: Researcher, Academic
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Tsarfaty Reut
- Bar-Ilan University, DSAI - Data Science & AI Institute
- Bar-Ilan University, Department of Computer Science - Associate Professor
- Bar-Ilan University, Natural Language Processing Lab
Person: Researcher, Academic
Research output
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Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
Manevich, A. & Tsarfaty, R., 2024, The 62nd Annual Meeting of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics, ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 6008-6022 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Conjunct Resolution in the Face of Verbal Omissions
Rassin, R., Goldberg, Y. & Tsarfaty, R., 1 Jan 2023, Long Papers. Association for Computational Linguistics (ACL), p. 13623-13640 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Is Probing All You Need? Indicator Tasks as an Alternative to Probing Embedding Spaces
Levy, T., Goldman, O. & Tsarfaty, R., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 5243-5254 12 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access