by Y Liu, BT McInnes
Abstract:
Automated measures of semantic relatedness are important for effectively processing medical data for a variety of tasks such as information retrieval and natural language processing. In this paper, we present a context vector approach that can compute the semantic relatedness between any pair of concepts in the Unified Medical Language System (UMLS). Our approach has been developed on a corpus of inpatient clinical reports. We use 430 pairs of clinical concepts manually rated for semantic relatedness as the reference standard. The experiments demonstrate that incorporating a combination of the UMLS and WordNet definitions can improve the semantic relatedness. The paper also shows that second order co-occurrence vector measure is a more effective approach than path-based methods for semantic relatedness.
Reference:
Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet (Y Liu, BT McInnes), In Proceedings of the 2nd \ldots, 2012.
Bibtex Entry:
@article{Mcinnes2012,
abstract = {Automated measures of semantic relatedness are important for effectively processing medical data for a variety of tasks such as information retrieval and natural language processing. In this paper, we present a context vector approach that can compute the semantic relatedness between any pair of concepts in the Unified Medical Language System (UMLS). Our approach has been developed on a corpus of inpatient clinical reports. We use 430 pairs of clinical concepts manually rated for semantic relatedness as the reference standard. The experiments demonstrate that incorporating a combination of the UMLS and WordNet definitions can improve the semantic relatedness. The paper also shows that second order co-occurrence vector measure is a more effective approach than path-based methods for semantic relatedness.},
author = {Liu, Y and McInnes, BT},
journal = {Proceedings of the 2nd \ldots},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
title = {{Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet}},
url = {http://dl.acm.org/citation.cfm?id=2110405},
year = {2012}
}