Evaluating the helpfulness of linked entities to readers

Ikuyai Yamada, Tomotaka Ito, Shinnosuke Usami, Shinsuke Takagi, Hideaki Takeda, Yoshiyasu Takefuji

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

When we encounter an interesting entity (e.g., a person's name or a geographic location) while reading text, we typically search and retrieve relevant information about it. Entity linking (EL) is the task of linking entities in a text to the corresponding entries in a knowledge base, such as Wikipedia. Recently, EL has received considerable attention. EL can be used to enhance a user's text reading experience by streamlining the process of retrieving information on entities. Several EL methods have been proposed, though they tend to extract all of the entities in a document including unnecessary ones for users. Excessive linking of entities can be distracting and degrade the user experience. In this paper, we propose a new method for evaluating the helpfulness of linking entities to users. We address this task using supervised machine-learning with a broad set of features. Experimental results show that our method significantly outperforms baseline methods by approximately 5.7%-12% F1. In addition, we propose an application, Linkify, which enables developers to integrate EL easily into their web sites.

本文言語English
ホスト出版物のタイトルHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
出版社Association for Computing Machinery
ページ169-178
ページ数10
ISBN(印刷版)9781450329545
DOI
出版ステータスPublished - 2014
イベント25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
継続期間: 2014 9 12014 9 4

出版物シリーズ

名前HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media

Other

Other25th ACM Conference on Hypertext and Social Media, HT 2014
国/地域Chile
CitySantiago
Period14/9/114/9/4

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 人間とコンピュータの相互作用
  • ソフトウェア

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