Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation.

ABSTRACT:

Background

Evaluation of Word Sense Disambiguation (WSD) methods in the biomedical domain is difficult because the available resources are either too small or too focused on specific types of entities (e.g. diseases or genes). We present a method that can be used to automatically develop a WSD test collection using the Unified Medical Language System (UMLS) Metathesaurus and the manual MeSH indexing of MEDLINE. We demonstrate the use of this method by developing such a data set, called MSH WSD.

Methods

In our method, the Metathesaurus is first screened to identify ambiguous terms whose possible senses consist of two or more MeSH headings. We then use each ambiguous term and its corresponding MeSH heading to extract MEDLINE citations where the term and only one of the MeSH he

SUBMITTER: Jimeno-Yepes AJ 

PROVIDER: S-EPMC3123611 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature