論文

2014年

An Approach to Named Entity Extraction from Historical Documents in Traditional Mongolian Script

2014 IEEE/ACM JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL)
  • Biligsaikhan Batjargal
  • ,
  • Garmaabazar Khaltarkhuu
  • ,
  • Fuminori Kimura
  • ,
  • Akira Maeda

開始ページ
489
終了ページ
490
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/JCDL.2014.6970239
出版者・発行元
IEEE

In this poster, we propose an information extraction method for digitized ancient Mongolian documents by utilizing an ancient modern dictionary. Named entities such as historical figures and place names will be extracted by employing text mining techniques that aim to reduce the labor-intensive annotation on historical text. The Text Encoding Initiative (TEI) guidelines will be applied to digital text representations that encode the historical figures and place names along with their interpretations, and commentaries.

リンク情報
DOI
https://doi.org/10.1109/JCDL.2014.6970239
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000383092300097&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84919346964&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84919346964&origin=inward
ID情報
  • DOI : 10.1109/JCDL.2014.6970239
  • ISSN : 1552-5996
  • eISSN : 2575-8152
  • ISBN : 9781479955695
  • SCOPUS ID : 84919346964
  • Web of Science ID : WOS:000383092300097

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