Making sense embedding out of word embeddings using graph-based word sense induction
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Updated
May 17, 2021 - Python
Making sense embedding out of word embeddings using graph-based word sense induction
A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics
A system for word sense induction and disambiguation based on JoBimText approach
This repository depicts our attempt to solve the long standing problem of word sense disambiguation in NLP using novel methods like generation of context vectors and sense embeddings.
Linked Disambiguated Distributional Semantic Networks
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