Analysis and refinement of cross-lingual entity linking

Taylor Cassidy, Heng Ji, Hongbo Deng, Jing Zheng, Jiawei Han

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

Abstract

In this paper we propose two novel approaches to enhance cross-lingual entity linking (CLEL). One is based on cross-lingual information networks, aligned based on monolingual information extraction, and the other uses topic modeling to ensure global consistency. We enhance a strong baseline system derived from a combination of state-of-the-art machine translation and monolingual entity linking to achieve 11.2% improvement in B-Cubed+ F-measure. Our system achieved highly competitive results in the NIST Text Analysis Conference (TAC) Knowledge Base Population (KBP2011) evaluation. We also provide detailed qualitative and quantitative analysis on the contributions of each approach and the remaining challenges.

Original languageEnglish (US)
Title of host publicationInformation Access Evaluation
Subtitle of host publicationMultilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings
Pages1-12
Number of pages12
DOIs
StatePublished - 2012
Event3rd International Conference of the CLEF Initiative, CLEF 2012 - Rome, Italy
Duration: Sep 17 2012Sep 20 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7488 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference of the CLEF Initiative, CLEF 2012
CountryItaly
CityRome
Period9/17/129/20/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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