論文

査読有り
2009年12月

Robust Toponym Resolution Based on Surface Statistics

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
  • Tomohisa Sano
  • ,
  • Shiho Hoshi Nobesawa
  • ,
  • Hiroyuki Okamoto
  • ,
  • Hiroya Susuki
  • ,
  • Masaki Matsubara
  • ,
  • Hiroaki Saito

E92D
12
開始ページ
2313
終了ページ
2320
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1587/transinf.E92.D.2313
出版者・発行元
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

Toponyms and other named entities are main issues in unknown word processing problem. Our purpose is to salvage unknown toponyms, not only for avoiding noises but also providing them information of area candidates to where they may belong. Most of previous toponym resolution methods were targeting disambiguation among area candidates. which is caused by the multiple existence of a toponym. These approaches were mostly based on gazetteers and contexts. When it comes to the documents which may contain toponyms worldwide, like newspaper articles, toponym resolution is not just an ambiguity resolution, but an area candidate selection from all the areas on Earth. Thus we propose an automatic toponym resolution method which enables to identify its, area candidates based only on their Surface statistics, in place of dictionary-lookup approaches. Our method combines two modules, area candidate reduction and area candidate examination which uses block-unit data, to obtain high accuracy without reducing recall rate. Our empirical result showed 85.54% precision rate, 91.92% recall rate and .89 F-measure value on average. This method is it flexible and robust approach for toponym resolution targeting unrestricted number of areas.

Web of Science ® 被引用回数 : 1

リンク情報
DOI
https://doi.org/10.1587/transinf.E92.D.2313
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000273190800004&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77950248580&origin=inward

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