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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
The MIT Press
2021-07-01
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Series: | Computational Linguistics |
Online Access: | https://direct.mit.edu/coli/article/47/2/387/98520/Analysis-and-Evaluation-of-Language-Models-for |