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An empirical study of the effects of NLP components on Geographic IR performance
Abstract Natural language processing {(NLP)} techniNatural language processing {(NLP)} techniques, such as toponym detection and resolution, are an integral part of most geographic information retrieval {(GIR)} architectures. Without these components, synonym detection, ambiguity resolution and accurate toponym expansion would not be possible. However, there are many important factors affecting the success of an {NLP} approach to {GIR,} including toponym detection errors, toponym resolution errors and query overloading. The aim of this paper is to determine how severe these errors are in state-of-the-art systems, and to what extent they affect {GIR} performance. We show that a careful choice of weighting schemes in the {IR} engine can minimize the negative impact of these errors on {GIR} accuracy. We provide empirical evidence from the {GeoCLEF} 2005 and 2006 datasets to support our observations.2006 datasets to support our observations.
Abstractsub Natural language processing {(NLP)} techniNatural language processing {(NLP)} techniques, such as toponym detection and resolution, are an integral part of most geographic information retrieval {(GIR)} architectures. Without these components, synonym detection, ambiguity resolution and accurate toponym expansion would not be possible. However, there are many important factors affecting the success of an {NLP} approach to {GIR,} including toponym detection errors, toponym resolution errors and query overloading. The aim of this paper is to determine how severe these errors are in state-of-the-art systems, and to what extent they affect {GIR} performance. We show that a careful choice of weighting schemes in the {IR} engine can minimize the negative impact of these errors on {GIR} accuracy. We provide empirical evidence from the {GeoCLEF} 2005 and 2006 datasets to support our observations.2006 datasets to support our observations.
Bibtextype article  +
Has author N Stokes + , Y Li + , A Moffat + , JW Rong +
Has remote mirror http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=4&SID=3D9@K9HgCKnBM85J1eH&page=3&doc=109  +
Number of citations by publication 0  +
Number of references by publication 0  +
Peer-reviewed Yes  +
Published in INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE +
Title An empirical study of the effects of NLP components on Geographic IR performance +
Type journal article  +
Volume 22  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 20 September 2014 16:59:01  +
Categories Publications without keywords parameter  + , Publications without language parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 20 September 2014 16:59:01  +
DateThis property is a special property in this wiki. 2008  +
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An empirical study of the effects of NLP components on Geographic IR performance + Title
 

 

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