Detecting semantic relations between nominals using support vector machines and linguistic-based rules

Authors:
Isabel Segura-Bedmar;Doaa Samy;Jose L. Martínez-Fernández;Paloma Martínez
Affiliations:
Universidad Carlos III de Madrid, Computer Science Departament, Madrid, Spain;Universidad Carlos III de Madrid, Computer Science Departament, Madrid, Spain;Universidad Carlos III de Madrid, Computer Science Departament, Madrid, Spain;Universidad Carlos III de Madrid, Computer Science Departament, Madrid, Spain
Venue:
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Year:
2007

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Abstract

This paper describes the improvement of an automatic system for detecting semantic relations between nominals by the use of linguistically motivated knowledge combined with machine learning techniques. A previous version of the system using a Support Vector Machine classifier was evaluated in the 4th International Workshop on Semantic Evaluations, SEMEVAL [5]. The performance of the system improved significantly by the application of the linguistic based rules.