Evaluating the helpfulness of linked entities to readers

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Pages169-178
Number of pages10
ISBN (Print)9781450329545
DOIs
Publication statusPublished - 2014 Jan 1
Event25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
Duration: 2014 Sep 12014 Sep 4

Publication series

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

Other

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

Keywords

  • entity linking
  • knowledge base
  • wikipedia

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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  • Cite this

    Yamada, I., Ito, T., Usami, S., Takagi, S., Takeda, H., & Takefuji, Y. (2014). Evaluating the helpfulness of linked entities to readers. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media (pp. 169-178). (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media). Association for Computing Machinery. https://doi.org/10.1145/2631775.2631802