Building a Cross-Language Entity Linking Collection in Twenty-One Languages

  • James Mayfield
  • Dawn Lawrie
  • Paul McNamee
  • Douglas W. Oard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6941)

Abstract

We describe an efficient way to create a test collection for evaluating the accuracy of cross-language entity linking. Queries are created by semi-automatically identifying person names on the English side of a parallel corpus, using judgments obtained through crowdsourcing to identify the entity corresponding to the name, and projecting the English name onto the non-English document using word alignments. We applied the technique to produce the first publicly available multilingual cross-language entity linking collection. The collection includes approximately 55,000 queries, comprising between 875 and 4,329 queries for each of twenty-one non-English languages.

Keywords

Entity Linking Cross-Language Entity Linking Multilingual Corpora Crowdsourcing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • James Mayfield
    • 1
  • Dawn Lawrie
    • 1
    • 2
  • Paul McNamee
    • 1
  • Douglas W. Oard
    • 1
    • 3
  1. 1.Johns Hopkins University Human Language Technology Center of ExcellenceUSA
  2. 2.Loyola UniversityMarylandUSA
  3. 3.University of MarylandCollege ParkUSA

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