Mihir Godbole


Temporal Word Meaning Disambiguation using TimeLMs
Mihir Godbole | Parth Dandavate | Aditya Kane
Proceedings of the The First Workshop on Ever Evolving NLP (EvoNLP)

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.