Location Name Disambiguation Exploiting Spatial Proximity and Temporal Consistency

Takashi Awamura, Eiji Aramaki, Daisuke Kawahara, Tomohide Shibata, Sadao Kurohashi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

As the volume of documents on the Web increases, technologies to extract useful information from them become increasingly essential. For instance, information extracted from social network services such as Twitter and Facebook is useful because it contains a lot of location-specific information. To extract such information, it is necessary to identify the location of each location-relevant expression within a document. Previous studies on location disambiguation have tackled this problem on the basis of word sense disambiguation, and did not make use of location-specific clues. In this paper, we propose a method for location disambiguation that takes advantage of the following two clues: spatial proximity and temporal consistency. We confirm the effectiveness of these clues through experiments on Twitter tweets with GPS information.

本文言語English
ホスト出版物のタイトルSocialNLP 2015@NAACL - 3rd International Workshop on Natural Language Processing for Social Media, Proceedings of the Workshop
出版社Association for Computational Linguistics (ACL)
ページ1-9
ページ数9
ISBN(電子版)9781941643488
出版ステータスPublished - 2015
外部発表はい
イベント3rd Workshop on Natural Language Processing for Social Media, SocialNLP 2015, associated with NAACL 2015 - Denver, United States
継続期間: 2015 6月 5 → …

出版物シリーズ

名前SocialNLP 2015@NAACL - 3rd International Workshop on Natural Language Processing for Social Media, Proceedings of the Workshop

Conference

Conference3rd Workshop on Natural Language Processing for Social Media, SocialNLP 2015, associated with NAACL 2015
国/地域United States
CityDenver
Period15/6/5 → …

ASJC Scopus subject areas

  • 言語学および言語
  • 言語および言語学

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