Haim Dubossarsky

Haim Dubossarsky

University of Cambridge

H-index: 11

Europe-United Kingdom

About Haim Dubossarsky

Haim Dubossarsky, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Natural Language Processing, Computational Linguistics, Language Change.

His recent articles reflect a diverse array of research interests and contributions to the field:

Computational modeling of semantic change

Toward Sentiment Aware Semantic Change Analysis

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

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

Analyzing Semantic Change through Lexical Replacements

The finer they get: Combining fine-tuned models for better semantic change detection

The Time-Embedding Travelers@ WiC-ITA

The human brain reactivates context-specific past information at event boundaries of naturalistic experiences

Haim Dubossarsky Information

University

Position

Research Fellow

Citations(all)

887

Citations(since 2020)

844

Cited By

336

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Haim Dubossarsky Skills & Research Interests

Natural Language Processing

Computational Linguistics

Language Change

Top articles of Haim Dubossarsky

Title

Journal

Author(s)

Publication Date

Computational modeling of semantic change

arXiv preprint arXiv:2304.06337

Nina Tahmasebi

Haim Dubossarsky

2023/4/13

Toward Sentiment Aware Semantic Change Analysis

Roksana Goworek

Haim Dubossarsky

2024/3

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

arXiv preprint arXiv:2401.14040

Francesco Periti

Haim Dubossarsky

Nina Tahmasebi

2024/1/25

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

Eszter Zsisku

Arkaitz Zubiaga

Haim Dubossarsky

2024/5/21

Analyzing Semantic Change through Lexical Replacements

arXiv preprint arXiv:2404.18570

Francesco Periti

Pierluigi Cassotti

Haim Dubossarsky

Nina Tahmasebi

2024/4/29

The finer they get: Combining fine-tuned models for better semantic change detection

Wei Zhou

Nina Tahmasebi

Haim Dubossarsky

2023/5

The Time-Embedding Travelers@ WiC-ITA

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

Francesco Periti

Haim Dubossarsky

2023

The human brain reactivates context-specific past information at event boundaries of naturalistic experiences

Nature neuroscience

Avital Hahamy

Haim Dubossarsky

Timothy EJ Behrens

2023/6

Logical reasoning for natural language inference using generated facts as atoms

arXiv preprint arXiv:2305.13214

Joe Stacey

Pasquale Minervini

Haim Dubossarsky

Oana-Maria Camburu

Marek Rei

2023/5/22

Logical reasoning with span-level predictions for interpretable and robust NLI models

Joe Stacey

Pasquale Minervini

Haim Dubossarsky

Marek Rei

2022/12

Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

Nina Tahmasebi

Syrielle Montariol

Andrey Kutuzov

Simon Hengchen

Haim Dubossarsky

...

2022/5

Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021

Nina Tahmasebi

Adam Jatowt

Yang Xu

Simon Hengchen

Syrielle Montariol

...

2021/8

DWUG: A large resource of diachronic word usage graphs in four languages

arXiv preprint arXiv:2104.08540

Dominik Schlechtweg

Nina Tahmasebi

Simon Hengchen

Haim Dubossarsky

Barbara McGillivray

2021/4/17

Challenges for computational lexical semantic change

Computational approaches to semantic change

Simon Hengchen

Nina Tahmasebi

Dominik Schlechtweg

Haim Dubossarsky

2021/8/10

The secret is in the spectra: Predicting cross-lingual task performance with spectral similarity measures

arXiv preprint arXiv:2001.11136

Haim Dubossarsky

Ivan Vulić

Roi Reichart

Anna Korhonen

2020/1/30

Proceedings of the Second Workshop on Computational Research in Linguistic Typology

Mona Diab

Pascale Fung

Mahmoud Ghoneim

Julia Hirschberg

Thamar Solorio

2016/11

SemEval-2020 task 1: Unsupervised lexical semantic change detection

arXiv preprint arXiv:2007.11464

Dominik Schlechtweg

Barbara McGillivray

Simon Hengchen

Haim Dubossarsky

Nina Tahmasebi

2020/7/22

Avoiding the hypothesis-only bias in natural language inference via ensemble adversarial training

Joe Stacey

Pasquale Minervini

Haim Dubossarsky

Sebastian Riedel

Tim Rocktäschel

2020/11/16

See List of Professors in Haim Dubossarsky University(University of Cambridge)