Word sense induction with agglomerative clustering and mutual information maximization

Word sense induction with agglomerative clustering and mutual information maximization

Word sense induction (WSI) is a challenging problem in natural language processing that involves the unsupervised automatic detection of a word’s senses (i.e., meanings). Recent work achieves significant results on the WSI task by pre-training a language model that can exclusively disambiguate word...

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Bibliographic Details
Main Authors: Hadi Abdine, Moussa Kamal Eddine, Davide Buscaldi, Michalis Vazirgiannis
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2023-01-01
Series:AI Open
Subjects:
Word sense induction
Unsupervised machine learning
Natural language processing
Transformer
BERT
Mutual information
Online Access:http://www.sciencedirect.com/science/article/pii/S2666651023000232

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http://www.sciencedirect.com/science/article/pii/S2666651023000232

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