/WSD-Word2Vec-Lesk

Word Sense Disambiguation using the Lesk algorithm with Word2Vec embeddings

Primary LanguageJupyter Notebook

WSD using the Lesk Algorithm with Word2Vec Embeddings

This is an unsupervised approach for WSD that uses pre-trained Word2Vec embeddings for computing the overlaps/similarities in the Lesk algorithm. It's evaluated on the SemCor 3.0 dataset.

Usage:

See code/main.ipynb and run it cell by cell

(This was done as a course assignment for CS626: Speech and Natural Language Processing and the Web, Autumn 2021, IIT Bombay)