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Semantic composition of AT-LOCATION relation with other relations

Published online by Cambridge University Press:  18 August 2011

HAKKI C. CANKAYA ,
EDUARDO BLANCO  and
DAN MOLDOVAN
HAKKI C. CANKAYA
Affiliation:
Department of Computer Engineering, Izmir University of Economics, Izmir 35330, Turkey email: hakki.cankaya@ieu.edu.tr
EDUARDO BLANCO
Affiliation:
Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX 75080, USA emails: eduardo@hlt.utdallas.edu, moldovan@hlt.utdallas.edu
DAN MOLDOVAN
Affiliation:
Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX 75080, USA emails: eduardo@hlt.utdallas.edu, moldovan@hlt.utdallas.edu
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Abstract

This paper presents a method for the composition of at-location with other semantic relations. The method is based on inference axioms that combine two semantic relations yielding another relation that otherwise is not expressed. An experimental study conducted on PropBank, WordNet, and eXtended WordNet shows that inferences have high accuracy. The method is applicable to combining other semantic relations and it is beneficial to many semantically intense applications.

Type
Articles
Information
Natural Language Engineering , Volume 18 , Issue 3 , July 2012 , pp. 343 - 374
Copyright
Copyright © Cambridge University Press 2011

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