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Unsupervised and Open Ontology-Based Semantic Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6562))

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.

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© 2011 Springer-Verlag Berlin Heidelberg

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Zouaq, A., Gagnon, M., Ozell, B. (2011). Unsupervised and Open Ontology-Based Semantic Analysis. In: Vetulani, Z. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2009. Lecture Notes in Computer Science(), vol 6562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20095-3_23

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  • DOI: https://doi.org/10.1007/978-3-642-20095-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20094-6

  • Online ISBN: 978-3-642-20095-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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