An end-to-end entity linking approach for tweets

Ikuya Yamada, Hideaki Takeda, Yoshiyasu Takefuji

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

6 Citations (Scopus)

Abstract

We present a novel approach for detecting, classifying, and linking entities from Twitter posts (tweets). The task is challenging because of the noisy, short, and informal nature of tweets. Consequently, the proposed approach introduces several methods that robustly facilitate successful realization of the task with enhanced performance in several measures.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Pages55-56
Number of pages2
Volume1395
Publication statusPublished - 2015
Event5th Workshop on Making Sense of Microposts: Big Things Come in Small Packages, #Microposts 2015, at the 24th International Conference on the World Wide Web, WWW 2015 - Florence, Italy
Duration: 2015 May 18 → …

Other

Other5th Workshop on Making Sense of Microposts: Big Things Come in Small Packages, #Microposts 2015, at the 24th International Conference on the World Wide Web, WWW 2015
CountryItaly
CityFlorence
Period15/5/18 → …

Keywords

  • DBpedia
  • Entity linking
  • Twitter
  • Wikification
  • Wikipedia

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Yamada, I., Takeda, H., & Takefuji, Y. (2015). An end-to-end entity linking approach for tweets. In CEUR Workshop Proceedings (Vol. 1395, pp. 55-56). CEUR-WS.