Home // GEOProcessing 2017, The Ninth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article


Extended Named Entity Recognition Using Finite-State Transducers: An Application To Place Names

Authors:
Mauro Gaio
Ludovic Moncla

Keywords: Geo-information processing; Geo-spatial Web Ser- vices and processing; Geo-spatial data mining

Abstract:
The textual geographical information is frequently organized around spatial named entities. Such entities have intrinsic ambiguities and Named Entity Recognition and Classification methods should be improved in order to handle this problem. This article describes a knowledge-based method implementing a full process with the aim of annotating in a more precise way the spatial information in the textual documents. This gain in accuracy guarantees a better analysis of the spatial information and a better disambiguation of places. The backbone of our proposal is a construction grammar and a cascaded finite-state transducers. The evaluation shows that the introduced concept of hierarchical overlapping, is very helpful to detect a local context associated with Named Entities.

Pages: 15 to 20

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-539-5

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017