Article | Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania | Resolving Spatial References using Crowdsourced Geographical Data
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Title:
Resolving Spatial References using Crowdsourced Geographical Data
Author:
Jana Götze: School of Computer Science and Communication, KTH, Stockholm, Sweden Johan Boye: School of Computer Science and Communication, KTH, Stockholm, Sweden
Download:
Full text (pdf)
Year:
2015
Conference:
Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Issue:
109
Article no.:
010
Pages:
61-68
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2015-05-06
ISBN:
978-91-7519-098-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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We present a study in which we seek to interpret spatial references that are part of in-situ route descriptions. Our aim is to resolve these references to actual entities and places in the city using a crowdsourced geographic database (OpenStreetMap). We discuss the problems related to this task, and present some possible automatic reference resolution methods. The best of these can find the correct referent in 68% of the cases.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Jana Götze, Johan Boye
Title:
Resolving Spatial References using Crowdsourced Geographical Data
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Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Jana Götze, Johan Boye
Title:
Resolving Spatial References using Crowdsourced Geographical Data
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