UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts

Bridget T. McInnes, Ying Liu, Ted Pedersen, Genevieve B. Melton, Serguei V. Pakhomov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

UMLS::Similarity is freely available open source software that allows a user to measure the semantic similarity or relatedness of biomedical terms found in the Unified Medical Language System (UMLS). It is written in Perl and can be used via a command line interface, an API, or a Web interface.

Original languageEnglish (US)
Title of host publication2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, NAACL-HLT 2013 - Demonstration Session
EditorsChris Dyer, Derrick Higgins
PublisherAssociation for Computational Linguistics (ACL)
Pages28-31
Number of pages4
ISBN (Electronic)9781937284473
StatePublished - 2013
Event2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Demonstration Session - Atlanta, United States
Duration: Jun 10 2013Jun 12 2013

Publication series

Name2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Demonstration Session

Conference

Conference2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Demonstration Session
Country/TerritoryUnited States
CityAtlanta
Period6/10/136/12/13

Bibliographical note

Funding Information:
This work was supported by the National Institute of Health, National Library of Medicine Grant #R01LM009623-01. It was carried out in part using computing resources at the University of Minnesota Supercomputing Institute.

Publisher Copyright:
© 2013 Association for Computational Linguistics.

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