Graph-based named entity linking with Wikipedia

Ben Hachey*, Will Radford, James R. Curran

*Corresponding author for this work

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

37 Citations (Scopus)

Abstract

Named entity linking (NEL) grounds entity mentions to their corresponding Wikipedia article. State-of-the-art supervised NEL systems use features over the rich Wikipedia document and link-graph structure. Graph-based measures have been effective over WordNet for word sense disambiguation (wsd). We draw parallels between NEL and (wsd), motivating our unsupervised NEL approach that exploits the Wikipedia article and category link graphs. Our system achieves 85.5% accuracy on the TAC 2010 shared task - competitive with the best supervised and unsupervised systems.

Original languageEnglish
Title of host publicationWeb Information System Engineering, WISE 2011 - 12th International Conference, Proceedings
EditorsAthman Bouguettaya, Manfred Hauswirth, Ling Liu
Pages213-226
Number of pages14
Volume6997 LNCS
DOIs
Publication statusPublished - 2011
Event12th International Conference on Web Information System Engineering, WISE 2011 - Sydney, NSW, Australia
Duration: 13 Oct 201114 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6997 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Web Information System Engineering, WISE 2011
CountryAustralia
CitySydney, NSW
Period13/10/1114/10/11

Keywords

  • entity resolution
  • integration
  • text mining
  • web intelligence
  • Wikipedia

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