معرفی
Omri Abend is an Associate Professor at The Hebrew University of Jerusalem, affiliated with the School of Computer Science and Engineering and serving as Chair of the Department of Cognitive and Brain Sciences. His research lies at the intersection of Computational Linguistics, Natural Language Processing, and Cognitive Science, with a focus on semantic representation and language acquisition modeling.
His primary research interests include:
- Computational modeling of child language acquisition
- Semantic representation frameworks, particularly Universal Conceptual Cognitive Annotation (UCCA)
- Statistical learning and machine translation
- Unsupervised grammar learning and lexical relation induction
- Cross-lingual and cross-domain alignment in language models
- Evaluation methodologies for NLP systems
His recent publications demonstrate a strong trend toward analyzing large language models (LLMs), exploring human-like patterns in AI, improving evaluation metrics, and applying NLP to humanitarian domains such as Holocaust testimony analysis. His work combines theoretical linguistic insights with practical machine learning applications.
Scientific awards include:
- Outstanding Paper Award at ACL 2017
- Area Chair Award for Best Paper in the Track at ACL 2023
He has supervised and collaborated with numerous researchers and students across projects in semantic parsing, machine translation, and cognitive modeling. His work has been supported by community-wide initiatives such as the MRP shared tasks, which he co-organized. He also leads research on ethical AI, open human feedback, and the computational analysis of historical narratives.
Omri Abend leads several research teams focused on:
- The development and application of the UCCA framework for semantic annotation
- Cross-lingual and cross-domain knowledge representation in LLMs
- Computational modeling of language acquisition
- Evaluation and improvement of NLP systems
- Application of NLP to digital humanities and historical testimony analysis
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