NLPX at INEX 2005

Woodley, Alan and Geva, Shlomo (2006). NLPX at INEX 2005. In: Norbert Fuhr, Mounia Lalmas, Saadia Malik and Gabriella Kazai, Proceedings of the 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005. Advances in XML information retrieval and evaluation, Dagstuhl Castle, Germany, (358-372). 28-30 November, 2005. doi:10.1007/11766278

Author Woodley, Alan
Geva, Shlomo
Title of paper NLPX at INEX 2005
Conference name Advances in XML information retrieval and evaluation
Conference location Dagstuhl Castle, Germany
Conference dates 28-30 November, 2005
Proceedings title Proceedings of the 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005   Check publisher's open access policy
Place of Publication Berlin ; New York
Publisher Springer
Publication Year 2006
Sub-type Fully published paper
DOI 10.1007/11766278
ISBN 3540349626
ISSN 0302-9743
Editor Norbert Fuhr
Mounia Lalmas
Saadia Malik
Gabriella Kazai
Volume 3977
Start page 358
End page 372
Total pages 15
Language eng
Abstract/Summary XML information retrieval (XML-IR) systems aim to provide users with highly exhaustive and highly specific results. To interact with XML-IR systems users must express both their content and structural needs in the form of a structured query. Historically, these structured queries have been formatted using formal languages such as XPath or NEXI. Unfortunately, formal query languages are very complex and too difficult to be used by experienced, let alone casual, users and are too closely bound to the underlying physical structure of the collection. Hence, recent research has investigated the idea of specifying users’ content and structural requirements via natural language queries (NLQs). The NLP track was established at INEX 2004 to promote research into this area, and QUT participated with the system NLPX. Here, we discuss changes we’ve made to the system since last year, as well as our participation in INEX 2005.
Subjects 080704 Information Retrieval and Web Search
080107 Natural Language Processing
Q-Index Code E1

Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Wed, 04 Feb 2009, 11:04:07 EST by Ms Lynette Adams on behalf of Centre for Water in the Minerals Industry