TY - GEN
T1 - Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet
AU - Liu, Ying
AU - McInnes, Bridget T.
AU - Pedersen, Ted
AU - Melton-Meaux, Genevieve
AU - Pakhomov, Serguei
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Computational linguistics
KW - Semantic relatedness
KW - UMLS
KW - WordNet
UR - http://www.scopus.com/inward/record.url?scp=84863249230&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863249230&partnerID=8YFLogxK
U2 - 10.1145/2110363.2110405
DO - 10.1145/2110363.2110405
M3 - Conference contribution
AN - SCOPUS:84863249230
SN - 9781450307819
T3 - IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
SP - 363
EP - 371
BT - IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
T2 - 2nd ACM SIGHIT International Health Informatics Symposium, IHI'12
Y2 - 28 January 2012 through 30 January 2012
ER -