Search Results for author:
Found 1 papers, 0 papers with code
Sparse associative memory based on contextual code learning for disambiguating word senses
In recent literature, contextual pretrained Language Models (LMs) demonstrated their potential in generalizing the knowledge to several Natural Language Processing (NLP) tasks including supervised Word Sense Disambiguation (WSD), a challenging problem in the field of Natural Language Understanding (NLU).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
