Journal of Natural Language Processing
Online ISSN : 2185-8314
Print ISSN : 1340-7619
ISSN-L : 1340-7619
General Paper (Peer-Reviewed)
Effectiveness of the Geographical Specificity Index in Document Geolocation
Soichi KageyamaTakashi Inui
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JOURNAL FREE ACCESS

2024 Volume 31 Issue 4 Pages 1665-1690

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Abstract

This study proposes a method to measure geographic specificity for mentions containing geographic location attributes, such as place names and landmarks that appear in documents, and evaluates its effectiveness. We first introduce the two key components of geographic specificity: geographic ambiguity and name exclusivity. We then propose an approach for calculating index values derived from Wikipedia data, utilizing techniques inspired by existing entity-linking methods. Subsequently, we conducted document geolocation experiments, integrating geographic specificity information into current document geolocation methods. Our findings indicate that both components of geographic specificity significantly enhance the accuracy of document geolocation.

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© 2024 The Association for Natural Language Processing
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