Haim Dubossarsky

According to our database1, Haim Dubossarsky authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
(Chat)GPT v BERT Dawn of Justice for Semantic Change Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Toward Sentiment Aware Semantic Change Analysis.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms.
CoRR, 2023

Computational modeling of semantic change.
CoRR, 2023

The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

The Time-Embedding Travelers at WiC-ITA.
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.
CoRR, 2022

Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Challenges for Computational Lexical Semantic Change.
CoRR, 2021

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages.
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.
CoRR, 2020

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence.
CoRR, 2020

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
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.
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.
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).
PhD thesis, 2018

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research.
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.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015
A bottom up approach to category mapping and meaning change.
Proceedings of the NetWordS Final Conference on Word Knowledge and Word Usage: Representations and Processes in the Mental Lexicon, Pisa, Italy, March 30, 2015


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