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Publications
About
UMLS::Similarity
is a suite of Perl modules that implement a number of semantic similarity
measures. The measures use the UMLS-Interface module to access the UMLS to
generate similarity scores between concepts.
Currently, this package includes programs that implement the similarity
measures described by Leacock & Chodorow (1998), Wu & Palmer (1994), Nguyen
& Al-Mubaid (2006), Rada, et. al. (1989), Jiang & Conrath (1997), Resnik
(1995) and Lin (1998), and the relatedness measures proposed by Banerjee &
Pedersen (2002), Patwardhan (2003).
If you use UMLS::Similarity, please cite the following paper:
Software
Download the current version (v0.41): CPAN
Requires the UMLS-Interface package
Web Services
Try the UMLS::Similarity Web Interface here (production) or here (backup). This does not require installation on your system, so is a good way to get started.
Query the Web Interface using the Perl Script from the UMLS::Similarity package.
Mailing List
Join our mailing
list designed to support users of UMLS::Similarity.
There is also extensive documentation.
Documentation
The UMLS::Similarity contains extensive documentation.
See the history of UMLS::Similarity.
Publications
U-path: An undirected path-based measure of semantic similarity.
Bridget T. McInnes, Ted Pedersen, Ying Liu, Serguei Pakhomov, and
Genevieve B. Melton. To Appear in the Proceedings of the Annual
Symposium of the American Medical Informatics Association
(AMIA), November 2014.
Determining the Difficulty of Word Sense Disambiguation.
Bridget T. McInnes and Mark Stevenson.
Journal of Biomedical Informatics. 2014 Feb; 47:83-90.
Evaluating Measures of Semantic Similarity and Relatedness to Disambiguate
Terms in Biomedical Text.
Bridget T. McInnes and Ted Pedersen.
Journal of Biomedical Informatics. 2013 December; 46(6):1116-24.
Evaluating Semantic Relatedness and Similarity Measures with Standardized
MedDRA Queries.
Robert W. Bill, Ying Liu, Bridget T. McInnes, Genevieve B. Melton, Ted
Pedersen, and Serguei Pakhomov. Appears in the Proceedings of the Annual
Symposium of the American Medical Informatics Association
(AMIA), November 2012.
Semantic Relatedness Study Using Second Order Co-occurrence Vectors
Computed from Biomedical Corpora, UMLS and WordNet. Ying Liu, Bridget
T. McInnes, Ted Pedersen, Serguei Pakhomov and Genevieve B. Melton.
Appears in the Proceedings of the 2nd ACM SIGHIT International Health
Informatics Symposium, January 28-30, 2012, Miami, FL.
Evaluating Measures of Redundancy in Clinical Texts.
Rui Zhang, Serguei Pakhomov, Bridget T. McInnes, and Genevieve B. Melton.
Appears in the Proceedings of the Annual Symposium of the American
Medical Informatics Association (AMIA). Oct. 2011, Washington DC.
Towards a Framework for Developing Semantic Relatedness Reference
Standards.
Serguei V. Pakhomov, Ted Pedersen, Bridget T. McInnes, Genevieve B.
Melton, Alexander Ruggieri, and Christopher G. Chute.
Journal of Biomedical Informatics. 2011 44(2), 251-265.
Semantic Similarity and Relatedness between Clinical Terms: An
Experimental Study. Serguei Pakhomov, Bridget T. McInnes, Terrence
Adam, Ying Liu, Ted Pedersen and Genevieve B. Melton. Appears
in the Proceedings of the Annual Symposium of the American Medical
Informatics Association. Nov 13-17, 2010, Washington, DC.
UMLS-Interface and UMLS-Similarity : Open Source Software for
Measuring Paths and Semantic Similarity. Bridget T. McInnes,
Ted Pedersen and Serguei V. Pakhomov. In the Proceedings of the Annual
Symposium of the American Medical Informatics Association,
Nov 14-18, 2009, San Francisco, CA.
Tutorials and Demos
UMLS::Similarity: Measuring the Relatedness and Similarity of
Biomedical Concepts.
Bridget T. McInnes, Ted Pedersen, Ying Liu, Serguei Pakhomov, and
Genevieve B. Melton.
To Appear in the Proceedings of the North American Association
of Computational Linguistics Demonstration Systems.
June 10-12, 2013, Atlanta, Georgia.
Measuring the Similarity and Relatedness
of Concepts in the Medical Domain : IHI 2012 Tutorial Overview.
Ted Pedersen, Serguei Pakhomov, Bridget T. McInnes, and Ying Liu.
Appears in the Proceedings of the 2nd ACM SIGHIT International
Health Informatics Symposium, January 28-30, 2012, Miami, FL.
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