DMCA
Query
BibTeX
@MISC{Téllez-valero_query,
author = {Alberto Téllez-valero and Manuel Montes-y-gómez and Luis Villaseñor-pineda and Laboratorio De Tecnologías Del Lenguaje},
title = {Query},
year = {}
}
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Abstract
This paper describes the INAOE’s answer validation system evaluated at the Spanish track of the AVE 2007. This system is based on a supervised learning approach that considers two kinds of attributes. On the one hand, some attributes indicating the textual entailment between the given support text and the hypothesis constructed from the question and answer. On the other hand, some new features denoting certain answer restrictions as imposed by the question’s type and format. In order to extract all these attributes the system uses different tools such as a lemmatizer, a POS tagger, a NER procedure and a superficial syntactic parser. Experimental results are encouraging; they show that the proposed system achieved a 52.91 % of F-measure and that it outperformed the standard baseline by 15 percentage points.
Keyphrases
standard baseline percentage point experimental result support text certain answer restriction ner procedure inaoe answer validation system superficial syntactic parser supervised learning approach different tool textual entailment question type proposed system spanish track po tagger new feature
