NLPX - An XML-IR System with a Natural Language Interface
Woodley, Alan P. & Geva, Shlomo (2004) NLPX - An XML-IR System with a Natural Language Interface. In Bruza, Peter, Moffett, Alister, & Turpin, Andrew (Eds.) Australian Document Computing Symposium, Decemeber 13 2004, Melbourne.
Traditional information retrieval (IR) systems respond to user queries with ranked lists of relevant documents. The separation of content and structure in XML documents allows individual XML elements to be selected in isolation. Thus, users expect XML-IR systems to return highly relevant results that are more precise than entire documents. This paper presents such a system. The system accepts queries in both natural language (English) and formal XPath-like format (NEXI) and matches to a set of relevant and appropriately-sized elements using an effective ranking scheme.
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|Item Type:||Conference Paper|
|Keywords:||Natural Language Queries, XML, Information Retrieval, Search Engine Interface, User, Friendly, Compression, NLPX|
|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 2004 (please consult author)|
|Deposited On:||23 Mar 2006|
|Last Modified:||29 Feb 2012 13:08|
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