I am a research fellow at the Department of Theoretical and Applied Linguistics of the University of Cambridge and a member of the Language Technology Lab (LTL). My research focuses on both computational linguistics and NLP. Specifically, I study how computational linguistics benefit NLP, and also what NLP can contribute to computational linguistics research. In addition, I am interested in the refinement of experimental methodologies in NLP, and have so far contributed to the standardization of research methods in semantic change and polysemy.
I am currently working on typology-aware models for cross-lingual word representations (more specifically lexical typology), as part of the LEXICAL project. In addition, I work on models for lexical semantic change detection and characterization, with an emphasis on models' reliability.
ContactEmail: hd423 [at] cam.ac.uk
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi and Dominik Schlechtweg. Accepted for ACL 2019.
Quantifying the structure of free association networks across the life span
Haim Dubossarsky, Simon De Deyne, and Thomas T. Hills. Developmental Psychology 2017.
Verbs change more than nouns: A bottom up computational approach to semantic change
Haim Dubossarsky, Daphna Weinshall, and Eitan Grossman. Lingue e Linguaggio, 15.1, 2016.
A bottom up approach to category mapping and meaning change
Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer, and Eitan Grossman.
In Vito Pirrelli, Claudia Marzi, Marcello Ferro (eds.): Word Structure and Word Usage. Proceedings of NetWordS 2015.
PhD in Computational Neuroscience, The Hebrew University of Jerusalem, Israel (2018)
M.Sc. in Computational Neuroscience, The Hebrew University of Jerusalem, Israel (2014)
M.A. in Cognitive Psychology, Tel Aviv University, Israel (2011)
B.A. in Psychology and Film studies, Tel Aviv University, Israel (2008)