DLSITE-1: lexical analysis for solving textual entailment recognition

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Title: DLSITE-1: lexical analysis for solving textual entailment recognition
Authors: Ferrández Escámez, Óscar | Micol Ponce, Daniel | Muñoz, Rafael | Palomar, Manuel
Research Group/s: Procesamiento del Lenguaje Natural y Sistemas de Información
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Textual entailment | Paraphrasing | Lexical analysis
Knowledge Area: Procesamiento del Lenguaje Natural
Date Created: Jun-2007
Issue Date: Jun-2007
Publisher: Springer
Citation: FERRÁNDEZ ESCÁMEZ, Óscar, et al. “DLSITE-1: lexical analysis for solving textual entailment recognition”. Lecture notes in computer science. 2007, vol. 4592/2007. ISSN 0302-9743, pp. 284-294
Abstract: This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can be tackled from three general levels: lexical, syntactic and semantic. The main goals of this research are to deal with this phenomenon from a lexical point of view, and achieve high results considering only such kind of knowledge. To accomplish this, the information provided by the lexical measures is used as a set of features for a Support Vector Machine which will decide if the entailment relation is produced. A study of the most relevant features and a comparison with the best state-of-the-art textual entailment systems is exposed throughout the paper. Finally, the system has been evaluated using the Second PASCAL Recognising Textual Entailment Challenge data and evaluation methodology, obtaining an accuracy rate of 61.88%.
Sponsor: QALL-ME consortium, 6º Programa Marco, Unión Europea, referencia del proyecto FP6-IST-033860. Gobierno de España, proyecto CICyT número TIN2006-1526-C06-01.
URI: http://hdl.handle.net/10045/3498
ISBN: 978-3-540-73350-8
ISSN: 0302-9743
DOI: 10.1007/978-3-540-73351-5_25
Language: eng
Type: info:eu-repo/semantics/article
Rights: The original publication is available at www.springerlink.com
Peer Review: si
Publisher version: http://dx.doi.org/10.1007/978-3-540-73351-5_25
Appears in Collections:INV - GPLSI - Artículos de Revistas

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