A bottom up approach to category mapping and meaning change. - Haim Dubossarsky; Yulia Tsvetkov; Chris Dyer; Eitan Grossman (NetWordS, 2015)

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. - Haim Dubossarsky; Daphna Weinshall; Eitan Grossman (EMNLP, 2017)

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. - Haim Dubossarsky; Eitan Grossman; Daphna Weinshall (EMNLP, 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 (2018)

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change. - Haim Dubossarsky; Simon Hengchen; Nina Tahmasebi; Dominik Schlechtweg (ACL (1), 2019)

The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures. - Haim Dubossarsky; Ivan Vulic; Roi Reichart; Anna Korhonen (EMNLP (1), 2020)

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. - Joe Stacey; Pasquale Minervini; Haim Dubossarsky; Sebastian Riedel 001; Tim Rocktäschel (EMNLP (1), 2020)

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. - Dominik Schlechtweg; Barbara McGillivray; Simon Hengchen; Haim Dubossarsky; Nina Tahmasebi (SemEval@COLING, 2020)

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence. - Haim Dubossarsky; Ivan Vulic; Roi Reichart; Anna Korhonen (CoRR, 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 001; Tim Rocktäschel (CoRR, 2020)

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. - Dominik Schlechtweg; Nina Tahmasebi; Simon Hengchen; Haim Dubossarsky; Barbara McGillivray (EMNLP (1), 2021)

Challenges for Computational Lexical Semantic Change. - Simon Hengchen; Nina Tahmasebi; Dominik Schlechtweg; Haim Dubossarsky (CoRR, 2021)

Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models. - Joe Stacey; Pasquale Minervini; Haim Dubossarsky; Marek Rei (EMNLP, 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)

The Time-Embedding Travelers at WiC-ITA. - Francesco Periti; Haim Dubossarsky (EVALITA, 2023)

The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection. - Wei Zhou; Nina Tahmasebi; Haim Dubossarsky (NoDaLiDa, 2023)

Computational modeling of semantic change. - Nina Tahmasebi; Haim Dubossarsky (CoRR, 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)

Analyzing Semantic Change through Lexical Replacements. - Francesco Periti; Pierluigi Cassotti; Haim Dubossarsky; Nina Tahmasebi (ACL (1), 2024)

Strengthening the WiC: New Polysemy Dataset in Hindi and Lack of Cross Lingual Transfer. - Haim Dubossarsky; Farheen Dairkee (LREC/COLING, 2024)

Toward Sentiment Aware Semantic Change Analysis. - Roksana Goworek; Haim Dubossarsky (EACL (Student Research Workshop), 2024)

(Chat)GPT v BERT Dawn of Justice for Semantic Change Detection. - Francesco Periti; Haim Dubossarsky; Nina Tahmasebi (EACL (Findings), 2024)

Integrating Cognitive Neuroscience Insights into NLP: A New Approach to Understanding Narrative Processing (Abstract). - Avital Hahamy; Haim Dubossarsky; Timothy Behrens (Text2Story@ECIR, 2024)

Atomic Inference for NLI with Generated Facts as Atoms. - Joe Stacey; Pasquale Minervini; Haim Dubossarsky; Oana-Maria Camburu; Marek Rei (EMNLP, 2024)

Hate Speech Detection and Reclaimed Language: Mitigating False Positives and Compounded Discrimination. - Eszter Zsisku; Arkaitz Zubiaga; Haim Dubossarsky (WebSci, 2024)

LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data. - Naomi Baes; Raphaël Merx; Nick Haslam; Ekaterina Vylomova; Haim Dubossarsky (ACL (Findings), 2025)

A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data. - Naomi Baes; Raphaël Merx; Nick Haslam; Ekaterina Vylomova; Haim Dubossarsky (CoRR, 2025)

Holes in Latent Space: Topological Signatures Under Adversarial Influence. - Aideen Fay; Inés García-Redondo; Qiquan Wang; Haim Dubossarsky; Anthea Monod (CoRR, 2025)

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods. - Roksana Goworek; Harpal Karlcut; Muhammad Shezad; Nijaguna Darshana; Abhishek Mane; Syam Bondada; Raghav Sikka; Ulvi Mammadov; Rauf Allahverdiyev; Sriram Purighella; Paridhi Gupta; Muhinyia Ndegwa; et al. (CoRR, 2025)

Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks. - Roksana Goworek; Haim Dubossarsky (CoRR, 2025)