Towards heterogeneous resources-based ambiguity reduction of sub-typed geographic named entities

Authors:
Mauro Gaio;Van Tien Nguyen
Affiliations:
Laboratoire LIUPPA, PAU Université, Cedex;Laboratoire LIUPPA, PAU Université, Cedex
Venue:
GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics
Year:
2011

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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.