The NLP Task at INEX 2005
With XML information retrieval, like in traditional IR, the user's information need
is loosely defined, linguistic variations are frequent, and answers are a ranked list
of relevant elements. Like in database querying, structure is of importance and a
simple list of keywords may not be sufficient to define an XML query. Structured
query languages for XML have been developed, but appear to be difficult to use
even by system-level users, let alone end-users. Therefore developing natural
language interfaces for XML-IR requires innovative solutions.
INEX provides a framework (documents, topics and relevance assessments) for
independent evaluation of XML-IR systems and approaches. In 2002 and 2003
systems in the Ad-hoc task accepted formal language queries (i.e. <title>
elements) and produced results lists of relevant XML elements (usually well below
the document root). In 2004 INEX introduced a Natural Language Processing task
that operated in parallel with the Ad-hoc task (using the same topics and
assessments) except that systems operated on XML natural language queries (i.e.
In this report we describe the motivation for using NLP in XML IR, the general
approaches that were tested at INEX 2005, and comment on the results.
Impact and interest:
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|Item Type:||Journal Article|
|Additional Information:||The contents of this newsletter can be freely accessed online via the publisher’s web page (see hypertext link).|
|Keywords:||Natural Language Processing, INEX, NLP Task, 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 Association for Computing Machinery|
|Deposited On:||25 Sep 2007|
|Last Modified:||01 Sep 2010 12:40|
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