2008 IEEE International Conference on Bioinformatics and Biomedicine Multiway Clustering for Creating Biomedical Term Sets November 03-November 05 ISBN: 978-0-7695-3452-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBM.2008.25
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.
Citation:
Vasileios Kandylas, Lyle Ungar, Ted Sandler, Shane Jensen, "Multiway Clustering for Creating Biomedical Term Sets," bibm, pp.449-452, 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||