Haim Dubossarsky

According to our database, Haim Dubossarsky authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hate Speech Detection and Reclaimed Language: Mitigating False Positives and Compounded Discrimination.

Eszter Zsisku, Arkaitz Zubiaga, Haim Dubossarsky

Proceedings of the 16th ACM Web Science Conference, 2024

Atomic Inference for NLI with Generated Facts as Atoms.

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Integrating Cognitive Neuroscience Insights into NLP: A New Approach to Understanding Narrative Processing (Abstract).

Avital Hahamy, Haim Dubossarsky, Timothy Behrens

Proceedings of Text2Story, 2024

(Chat)GPT v BERT Dawn of Justice for Semantic Change Detection.

Francesco Periti, Haim Dubossarsky, Nina Tahmasebi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Toward Sentiment Aware Semantic Change Analysis.

Roksana Goworek, Haim Dubossarsky

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Strengthening the WiC: New Polysemy Dataset in Hindi and Lack of Cross Lingual Transfer.

Haim Dubossarsky, Farheen Dairkee

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Analyzing Semantic Change through Lexical Replacements.

Francesco Periti, Pierluigi Cassotti, Haim Dubossarsky, Nina Tahmasebi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms.

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei

CoRR, 2023

Computational modeling of semantic change.

Nina Tahmasebi, Haim Dubossarsky

CoRR, 2023

The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection.

Wei Zhou, Nina Tahmasebi, Haim Dubossarsky

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

The Time-Embedding Travelers at WiC-ITA.

Francesco Periti, Haim Dubossarsky

Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

2022

Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models.

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei

CoRR, 2022

Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models.

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Challenges for Computational Lexical Semantic Change.

Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg, Haim Dubossarsky

CoRR, 2021

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages.

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel

CoRR, 2020

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence.

Haim Dubossarsky, Ivan Vulic, Roi Reichart, Anna Korhonen

CoRR, 2020

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection.

Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, Nina Tahmasebi

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures.

Haim Dubossarsky, Ivan Vulic, Roi Reichart, Anna Korhonen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change.

Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Semantic change at large: a computational approach for semantic change research (שער נוסף בעברית: שינוי משמעות הולך בגדולות : גישה חישובית למחקר של שינוי סמנטי).

Haim Dubossarsky

PhD thesis, 2018

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research.

Haim Dubossarsky, Eitan Grossman, Daphna Weinshall

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models.

Haim Dubossarsky, Daphna Weinshall, Eitan Grossman

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

A bottom up approach to category mapping and meaning change.

Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer, Eitan Grossman

Proceedings of the NetWordS Final Conference on Word Knowledge and Word Usage: Representations and Processes in the Mental Lexicon, Pisa, Italy, March 30, 2015