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.

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Date Posted: 27 November 2017