Analysis and Evaluation of Language Models for Word Sense Disambiguation

AbstractTransformer-based language models have taken many fields in NLP by storm. BERT and its derivatives dominate most of the existing evaluation benchmarks, including those for Word Sense Disambiguation (WSD), thanks to their ability in capturing context-sensitive semantic nuances...

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Bibliographic Details
Main Authors: Daniel Loureiro, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados
Format: Article
Language:English
Published: The MIT Press 2021-07-01
Series:Computational Linguistics
Online Access:https://direct.mit.edu/coli/article/47/2/387/98520/Analysis-and-Evaluation-of-Language-Models-for