[Demo] A webtool for analyzing land-use planning documents
2015
Farvardin, Mohammad Amin | Kergosien, Eric | Roche, Mathieu | Teisseire, Maguelonne
In previous work, different methods have been proposed in order to semi-automatically mine geospatial information and opinions in documents [3]. In this paper, we present the Web application, SentiAnnotator, based on NLP methods to extract and visualize geospatial information with the associated entities. The evaluation of our application shows good results on a French corpus, i.e. F-measure of 0.74 and 0.75 respectively for the identification of spatial features and organizations. (Résumé d'auteur)
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Издатель
SWSA
Язык
Английский
Лицензия
http://agritrop.cirad.fr/579649/1/conf_ISWC15.pdfCirad licenseinfo:eu-repo/semantics/openAccesshttps://agritrop.cirad.fr/mention_legale.html
Тип
Conference Object; Conference Part; Conference Paper; Conference Part
Источник
SWSAISWC 2015 Posters & Demonstrations Track: Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015)
2019-03-15
AGRIS AP
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