Word Sense Disambiguation (WSD) is a significant and challenging task for text
understanding and processing. This paper presents an unsupervised approach based on …

Word sense disambiguation (WSD) is an important step in biomedical text mining, which is
responsible for assigning an unequivocal concept to an ambiguous term, improving the …

Word sense disambiguation, WSD, task has been investigated extensively within the natural
language processing domain. In the biomedical domain, word sense ambiguity is more …

In the biomedical domain, word sense ambiguity is a widely spread problem with
bioinformatics research effort devoted to it being not commensurate and allowing for more …

Background We aim to solve the problem of determining word senses for ambiguous
biomedical terms with minimal human effort. Methods We build a fully automated system for …

Abstract Motivation: Word Sense Disambiguation (WSD), automatically identifying the
meaning of ambiguous words in context, is an important stage of text processing. This article …

Background Word sense disambiguation (WSD) algorithms attempt to select the proper
sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus …

Background Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

Word sense disambiguation (WSD) is a basic task of natural language processing (NLP)
and its purpose to choose the correct sense of an ambiguous word according to its context …

Polysemy is a common phenomenon in the biomedical domain. Ambiguous words directly
influence the accuracy of computer semantic analyses. Thus, word sense disambiguation …