NLPX at INEX 2004

Woodley, Alan and Shlomo, Geva (2005). NLPX at INEX 2004. In: Norbert Fuhr, Mounia Lalmas, Saadia Malik and Zoltán Szlávik, Advances in XML Information Retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004. International Workshop of the Initiative for the Evaluation of XML Retrieval, Dagstuhl Castle, Germany, (382-394). 6-8 December 2004. doi:10.1007/11424550_31


Author Woodley, Alan
Shlomo, Geva
Title of paper NLPX at INEX 2004
Conference name International Workshop of the Initiative for the Evaluation of XML Retrieval
Conference location Dagstuhl Castle, Germany
Conference dates 6-8 December 2004
Proceedings title Advances in XML Information Retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2005
Sub-type Fully published paper
DOI 10.1007/11424550_31
Open Access Status Not Open Access
ISBN 9783540261667
3540261664
ISSN 0302-9743
1611-3349
Editor Norbert Fuhr
Mounia Lalmas
Saadia Malik
Zoltán Szlávik
Volume 3493
Start page 382
End page 394
Total pages 13
Language eng
Formatted Abstract/Summary
Users of information retrieval (IR) systems require an interface that is powerful and easy-to-use in order to fulfill their information requirement. In XML-IR systems this is a non-trivial task since users expect these systems to fulfill both their structural and content requirements. Most existing XML-IR systems accept queries formatted in formal query languages, however, these languages are difficult to use. This paper presents NLPX – an XML-IR system with a natural language interface that is user friendly enough so it can be used intuitively, but sophisticated enough to be able to handle complex structured queries. NLPX accepts English queries that contain both usersrsquo content and structural requirements. It uses a set of grammar templates to derive the structural and content requirements and translates them into a formal language (NEXI). The formal language queries can then be processed by many existing XML-IR systems. The system was developed for participation in the NLP Track of the INEX 2004 Workshop, and results indicated that natural language interfaces are able to capture users’ structural and content requirements, but not as accurately as some formal language interfaces.
© Springer-Verlag Berlin Heidelberg 2005.
Subjects 0803 Computer Software
Keyword Information retrieval systems
XML-IR systems
NLPX
Natural language interface
NEXI
Users' content
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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