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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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https://hal-emse.ccsd.cnrs.fr/emse-00680259
Contributor : Florent Breuil <>
Submitted on : Monday, March 19, 2012 - 8:53:49 AM
Last modification on : Wednesday, June 24, 2020 - 4:18:53 PM

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  • HAL Id : emse-00680259, version 1

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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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