Bootstrapping toponym classifiers
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Disambiguating toponyms in news
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A conceptual density-based approach for the disambiguation of toponyms
International Journal of Geographical Information Science
Map-based vs. knowledge-based toponym disambiguation
Proceedings of the 2nd international workshop on Geographic information retrieval
Spatial autocorrelation and toponym ambiguity
Proceedings of the 2nd international workshop on Geographic information retrieval
GIRPharma: a geographic information retrieval approach to locate pharmacies on duty
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Multifaceted toponym recognition for streaming news
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Approaches to disambiguating toponyms
SIGSPATIAL Special
Adaptive context features for toponym resolution in streaming news
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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In this paper we present a study carried out over toponyms contained in an Italian news collection, in order to determine the degree of ambiguity of toponyms and how difficult could be to resolve such ambiguities. The results show that frequent toponyms are usually less ambiguous than rare to-ponyms. The resolution of ambiguities on a sample of 1,042 toponyms with different features confirms that ambiguous toponyms are spatially autocorrelated.