Abstract
The aim of this work is to find sub-typed Geographic Named Entities from the analysis of relations between Place Names surrounded nominal group within a specific phrasal context in a set of textual documents. The paper presents a method involving natural language processing and heterogeneous resources like gazetteers, thesauri or ontologies. The work and the results focus a French language corpus. However, the uses of quite generic lexico-syntactic patterns in pre-selected phrasal context can be tuned for others languages.
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Gaio, M., Nguyen, V.T. (2011). Towards Heterogeneous Resources-Based Ambiguity Reduction of Sub-typed Geographic Named Entities. In: Claramunt, C., Levashkin, S., Bertolotto, M. (eds) GeoSpatial Semantics. GeoS 2011. Lecture Notes in Computer Science, vol 6631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20630-6_14
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DOI: https://doi.org/10.1007/978-3-642-20630-6_14
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