| SemEval-2020 task 1: Unsupervised lexical semantic change detection D Schlechtweg, B McGillivray, S Hengchen, H Dubossarsky, ... arXiv preprint arXiv:2007.11464, 2020 | 160 | 2020 |
| 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 | 154 | 2017 |
| 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 | 93 | 2019 |
| Quantifying the structure of free association networks across the life span. H Dubossarsky, S De Deyne, TT Hills Developmental psychology 53 (8), 1560, 2017 | 83 | 2017 |
| A bottom up approach to category mapping and meaning change. H Dubossarsky, Y Tsvetkov, C Dyer, E Grossman NetWordS, 66-70, 2015 | 59 | 2015 |
| 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 | 33 | 2016 |
| 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 | 25 | 2020 |
| 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 | 21 | 2018 |
| Challenges for computational lexical semantic change S Hengchen, N Tahmasebi, D Schlechtweg, H Dubossarsky Computational approaches to semantic change 6, 341, 2021 | 14 | 2021 |
| The secret is in the spectra: Predicting cross-lingual task performance with spectral similarity measures H Dubossarsky, I Vulić, R Reichart, A Korhonen arXiv preprint arXiv:2001.11136, 2020 | 14 | 2020 |
| DWUG: A large resource of diachronic word usage graphs in four languages D Schlechtweg, N Tahmasebi, S Hengchen, H Dubossarsky, ... arXiv preprint arXiv:2104.08540, 2021 | 12 | 2021 |
| 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 | 8 | 2018 |
| Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models J Stacey, P Minervini, H Dubossarsky, M Rei arXiv preprint arXiv:2205.11432, 2022 | 1 | 2022 |
| Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models J Stacey, P Minervini, H Dubossarsky, M Rei Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | | 2022 |
| Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change N Tahmasebi, S Montariol, A Kutuzov, S Hengchen, H Dubossarsky, ... Proceedings of the 3rd Workshop on Computational Approaches to Historical …, 2022 | | 2022 |
| Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021 N Tahmasebi, A Jatowt, Y Xu, S Hengchen, S Montariol, H Dubossarsky Proceedings of the 2nd International Workshop on Computational Approaches to …, 2021 | | 2021 |
| Proceedings of the Second Workshop on Computational Research in Linguistic Typology E Vylomova, EM Ponti, E Grossman, AD McCarthy, Y Berzak, ... Proceedings of the Second Workshop on Computational Research in Linguistic …, 2020 | | 2020 |
| Time for change: Evaluating models of semantic change without evaluation tasks H Dubossarsky, N Tahmasebi, D Schlechtweg Cambridge Language Sciences Annual Symposium 2019: Perspectives on Language …, 2019 | | 2019 |
