Semantic Parsing based on Verbal Subcategorization

Computer Science – Computation and Language

Scientific paper

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12 pages, extended version of the paper. Spanish version of the paper also available from authors home page

Scientific paper

The aim of this work is to explore new methodologies on Semantic Parsing for unrestricted texts. Our approach follows the current trends in Information Extraction (IE) and is based on the application of a verbal subcategorization lexicon (LEXPIR) by means of complex pattern recognition techniques. LEXPIR is framed on the theoretical model of the verbal subcategorization developed in the Pirapides project.

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