research-article

Extraction of contextual information from medical case research report using WordNet

Authors:

Genoveva Galarza Heredero,

Subhadip Bandyopadhyay,

Arijit LahaAuthors Info & Claims

COMPUTE '11: Proceedings of the Fourth Annual ACM Bangalore Conference

Article No.: 13, Pages 1 - 8

https://doi.org/10.1145/1980422.1980435

Published: 25 March 2011 Publication History

Abstract

Relevant information within a document are usually embedded within a few sentences or passages (units). If any semantic tagging can be associated at the unit level within a document, the understanding of the information will be deeper and quicker saving a lot of effort and time of the user. In this paper we propose a simple approach of sentence tagging using the relational semantic network among lexical units as presented in WordNet. The approach is to propose a domain specific sub-taxonomy of key concepts following WordNet structure and associate a meaning with each of the sentences contextually. This approach also identifies those words from the text that can provide important semantic information in a tag assignation task. The occurrence of keywords will determinate a series of patterns that can be converted into rules for deciding the tagging and also information extraction as a useful application.

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Cited By

Montejo-Ráez ADíaz-Galiano MMartínez-Santiago FUreña-López L(2014)Crowd explicit sentiment analysisKnowledge-Based Systems10.1016/j.knosys.2014.05.00769:1(134-139)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.knosys.2014.05.007
Montejo-Ráez ADíaz-Galiano MPerea-Ortega JUreña-López LSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)Spanish knowledge base generation for polarity classification from massesProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2487996(571-578)Online publication date: 13-May-2013
https://dl.acm.org/doi/10.1145/2487788.2487996

Index Terms

Extraction of contextual information from medical case research report using WordNet

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Published In

cover image ACM Other conferences

COMPUTE '11: Proceedings of the Fourth Annual ACM Bangalore Conference

March 2011

194 pages

ISBN:9781450307505

DOI:10.1145/1980422

Conference Chairs:
R. K. Shyamasundar
TIFR, India
,
Lokendra Shastri
Infosys Labs, Infosys

Copyright © 2011 ACM.

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Publication History

Published: 25 March 2011

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Compute'11

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Compute'11: ACM Bangalore Chapter 4th Annual Conference

March 25 - 26, 2011

Bangalore, India

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Cited By

Montejo-Ráez ADíaz-Galiano MMartínez-Santiago FUreña-López L(2014)Crowd explicit sentiment analysisKnowledge-Based Systems10.1016/j.knosys.2014.05.00769:1(134-139)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.knosys.2014.05.007
Montejo-Ráez ADíaz-Galiano MPerea-Ortega JUreña-López LSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)Spanish knowledge base generation for polarity classification from massesProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2487996(571-578)Online publication date: 13-May-2013
https://dl.acm.org/doi/10.1145/2487788.2487996

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