Haim Dubossarsky
Haim Dubossarsky
Research Fellow, University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Outta control: Laws of semantic change and inherent biases in word representation models
H Dubossarsky, D Weinshall, E Grossman
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
412017
A bottom up approach to category mapping and meaning change.
H Dubossarsky, Y Tsvetkov, C Dyer, E Grossman
NetWordS, 66-70, 2015
302015
Quantifying the structure of free association networks across the life span.
H Dubossarsky, S De Deyne, TT Hills
Developmental psychology 53 (8), 1560, 2017
202017
Verbs change more than nouns: a bottom-up computational approach to semantic change
H Dubossarsky, D Weinshall, E Grossman
Lingue e linguaggio 15 (1), 7-28, 2016
152016
Time-out: Temporal referencing for robust modeling of lexical semantic change
H Dubossarsky, S Hengchen, N Tahmasebi, D Schlechtweg
arXiv preprint arXiv:1906.01688, 2019
112019
Coming to your senses: on controls and evaluation sets in polysemy research
H Dubossarsky, E Grossman, D Weinshall
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
82018
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
D Schlechtweg, B McGillivray, S Hengchen, H Dubossarsky, ...
Proceedings of the 14th International Workshop on Semantic Evaluation …, 2020
42020
Semantic change at large: A computational approach for semantic change research
H Dubossarsky
Ph. D. thesis, Hebrew University of Jerusalem, Edmond and Lily Safra Center …, 2018
32018
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
J Stacey, P Minervini, H Dubossarsky, S Riedel, T Rocktäschel
arXiv preprint arXiv:2004.07790, 2020
2020
Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence
H Dubossarsky, I Vulić, A Reichart, Roi, Korhonen
arXiv preprint arXiv: 2001.11136, 2020
2020
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Articles 1–10