Approaches to Translating Natural Language Queries for use in XML Information Retrieval Systems
XML information retrieval (XML-IR) systems aim to provide users with relevant results that are more specic 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 benecial.
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|Keywords:||Natural Language Processing, INEX, XML, IR, XML Information Retrieval, Natural Language Queries|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2006 (please consult author)|
|Deposited On:||25 Sep 2007|
|Last Modified:||10 Aug 2011 17:46|
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