Statistics Papers
Document Type
Journal Article
Date of this Version
2008
Publication Source
2013 IEEE International Conference on Bioinformatics and Biomedicine 2008
Start Page
449
Last Page
452
DOI
10.1109/BIBM.2008.25
Abstract
We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both verb-noun and noun-noun co-occurrence pairs. This strategy provides greater coverage of words than using either set of pairs alone, since not all words appear in both datasets. We demonstrate it on data extracted from Medline and evaluate the results using MeSH and Wordnet.
Recommended Citation
Kandylas, V., Ungar, L., Sandler, T., & Jensen, S. T. (2008). Multiway Clustering for Creating Biomedical Term Sets. 2013 IEEE International Conference on Bioinformatics and Biomedicine 2008, 449-452. http://dx.doi.org/10.1109/BIBM.2008.25
Date Posted: 27 November 2017