Approaches to Translating Natural Language Queries for use in XML Information Retrieval Systems - Mines Saint-Étienne Access content directly
Reports Year : 2006

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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Dates and versions

emse-00680259 , version 1 (19-03-2012)

Identifiers

  • HAL Id : emse-00680259 , version 1

Cite

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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