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AMIA Annu Symp Proc. 2013 Nov 16;2013:1512-21. eCollection 2013.

A literature-based assessment of concept pairs as a measure of semantic relatedness.

Author information

1
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD.

Abstract

The semantic relatedness between two concepts, according to human perception, is domain-rooted and reflects prior knowledge. We developed a new method for semantic relatedness assessment that reflects human judgment, utilizing semantic predications extracted from PubMed citations by SemRep. We compared the new method to other approaches utilizing path-based, statistical, and context vector methods, using a gold standard for evaluation. The new method outperformed all others, except one variation of the context vector technique. These findings have implications in several natural language processing applications, such as serendipitous knowledge discovery.

PMID:
24551423
PMCID:
PMC3900161
[Indexed for MEDLINE]
Free PMC Article

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