@inproceedings{godbole-etal-2022-temporal,
title = "Temporal Word Meaning Disambiguation using {T}ime{LM}s",
author = "Godbole, Mihir and
Dandavate, Parth and
Kane, Aditya",
editor = "Barbieri, Francesco and
Camacho-Collados, Jose and
Dhingra, Bhuwan and
Espinosa-Anke, Luis and
Gribovskaya, Elena and
Lazaridou, Angeliki and
Loureiro, Daniel and
Neves, Leonardo",
booktitle = "Proceedings of the First Workshop on Ever Evolving NLP (EvoNLP)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.evonlp-1.8",
doi = "10.18653/v1/2022.evonlp-1.8",
pages = "55--60",
abstract = "Meaning of words constantly change given the events in modern civilization. Large Language Models use word embeddings, which are often static and thus cannot cope with this semantic change. Thus, it is important to resolve ambiguity in word meanings. This paper is an effort in this direction, where we explore methods for word sense disambiguation for the EvoNLP shared task. We conduct rigorous ablations for two solutions to this problem. We see that an approach using time-aware language models helps this task. Furthermore, we explore possible future directions to this problem.",
}
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%0 Conference Proceedings
%T Temporal Word Meaning Disambiguation using TimeLMs
%A Godbole, Mihir
%A Dandavate, Parth
%A Kane, Aditya
%Y Barbieri, Francesco
%Y Camacho-Collados, Jose
%Y Dhingra, Bhuwan
%Y Espinosa-Anke, Luis
%Y Gribovskaya, Elena
%Y Lazaridou, Angeliki
%Y Loureiro, Daniel
%Y Neves, Leonardo
%S Proceedings of the First Workshop on Ever Evolving NLP (EvoNLP)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F godbole-etal-2022-temporal
%X Meaning of words constantly change given the events in modern civilization. Large Language Models use word embeddings, which are often static and thus cannot cope with this semantic change. Thus, it is important to resolve ambiguity in word meanings. This paper is an effort in this direction, where we explore methods for word sense disambiguation for the EvoNLP shared task. We conduct rigorous ablations for two solutions to this problem. We see that an approach using time-aware language models helps this task. Furthermore, we explore possible future directions to this problem.
%R 10.18653/v1/2022.evonlp-1.8
%U https://aclanthology.org/2022.evonlp-1.8
%U https://doi.org/10.18653/v1/2022.evonlp-1.8
%P 55-60
Markdown (Informal)
[Temporal Word Meaning Disambiguation using TimeLMs](https://aclanthology.org/2022.evonlp-1.8) (Godbole et al., EvoNLP 2022)
ACL
- Mihir Godbole, Parth Dandavate, and Aditya Kane. 2022. Temporal Word Meaning Disambiguation using TimeLMs. In Proceedings of the First Workshop on Ever Evolving NLP (EvoNLP), pages 55–60, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.