Unsupervised and open ontology-based semantic analysis

Authors:
Amal Zouaq;Michel Gagnon;Benoît Ozell
Affiliations:
Simon Fraser University, School of Interactive Arts and Technology, Surrey, Canada;Ecole Polytechnique de Montréal, Centre-ville, Montréal, QC;Ecole Polytechnique de Montréal, Centre-ville, Montréal, QC
Venue:
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Year:
2009

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Abstract

This paper presents an unsupervised and domain independent semantic analysis that outputs two types of formal representations: discourse representations structures and flat scope-free logical forms. This semantic analysis is built on top of dependency relations produced by a statistical syntactic parser, and is generated by a grammar of patterns named α-grammar. The interest of this grammar lies in building a clear linguistically-grounded syntax-semantic interface using a representation (dependencies) commonly used in the natural language processing community. The paper also explains how semantic representations can be annotated using an upper-level ontology, thus enabling further inference capabilities. The evaluation of the α-Grammar on a hand-made gold standard and on texts from the STEP 2008 Shared Task competition shows the interest of the approach.