Approaches to Translating Natural Language Queries for use in XML Information Retrieval Systems

Abstract : XML information retrieval (XML-IR) systems aim to provide users with relevant results that are more speci c than documents. To interact with XML-IR systems, users must express both their content and structural requirements in the form of a structured query, using formal languages such as XPath or NEXI. Natural language queries (NLQs) are a more intuitive alternative. Here, we present three approaches that analyse NLQs and translate them into a formal language (NEXI) query. The approaches participated in INEX's 2005 NLP track, where they performed strongly, even outperforming a baseline that consisted of manually constructed NEXI expressions. This suggests that further collaboration between NLP and XML-IR could be mutually bene cial.
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Rapport
2006
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https://hal-emse.ccsd.cnrs.fr/emse-00680259
Contributeur : Florent Breuil <>
Soumis le : lundi 19 mars 2012 - 08:53:49
Dernière modification le : mardi 23 octobre 2018 - 14:36:08

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  • HAL Id : emse-00680259, version 1

Citation

Xavier Tannier, Alan Woodley, Shlomo Geva, Marcus Hassler. Approaches to Translating Natural Language Queries for use in XML Information Retrieval Systems. 2006. 〈emse-00680259〉

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