Unsupervised Graph-based Word Sense Disambiguation of Biomedical Documents
- Wessam Gad El-Rab
- Osmar R. Zaiane, University of Alberta (Database)
- Mohammad El-Hajj
Word Sense Disambiguation is the task of automatically identifying the correct sense of an ambiguous word. Biomedical documents, similar to other narrative documents, suffer from ambiguity, which impacts the ability to automatically extract knowledge contained in the document text. In this study, we propose a graph-based word sense disambiguation algorithm focused on biomedical text. The proposed algorithm uses the UMLS Metathesaurus as its source of knowledge. Evaluation is carried out using the MSH-WSD data set.
Citation
W. El-Rab, O. Zaiane, M. El-Hajj. "Unsupervised Graph-based Word Sense Disambiguation of Biomedical Documents". IEEE Healthcom, Lisbon, Portugal, October 2013.| Keywords: | Word Sense Disambiguation, UMLS, MetaMap |
| Category: | In Conference |
| Web Links: | Webdocs |
BibTeX
@incollection{El-Rab+al:13,
author = {Wessam Gad El-Rab and Osmar R. Zaiane and Mohammad El-Hajj},
title = {Unsupervised Graph-based Word Sense Disambiguation of Biomedical
Documents},
booktitle = {IEEE Healthcom},
year = 2013,
}Last Updated: November 14, 2019Submitted by Sabina P
