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Cross-document cross-lingual coreference retrieval

Published: 26 October 2008 Publication History

Abstract

In this work, we address coreference retrieval, which involves identifying aliases that are distinct references to an entity. We begin with a known alias and discover unknown aliases that refer to the same entity. We use Entity Language Models to capture the contextual language around the known alias, which aids in finding new aliases. We also show that modeling the significant dates of the known aliases improves alias discovery performance.

References

[1]
H. Raghavan, J. Allan, and A. McCallum. An exploration of entity models, collective classification and relation description. In Proceedings of the Second International Workshop on Link Analysis and Group, pages 1--10, 2004.
[2]
C. Gooi and J. Allan. Cross-document coreference on a large scale corpus. In Proceedings of HLT 2004 conference, pages 9--16, 2004.

Cited By

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  • (2017)Entity Markup for Knowledge Base PopulationBig Data Analytics10.1007/978-3-319-72413-3_5(71-89)Online publication date: 25-Nov-2017
  • (2016)Error Link Detection and Correction in WikipediaProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983705(307-316)Online publication date: 24-Oct-2016
  • (2012)Entity clustering across languagesProceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies10.5555/2382029.2382039(60-69)Online publication date: 3-Jun-2012

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  1. Cross-document cross-lingual coreference retrieval

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    cover image ACM Conferences
    CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
    October 2008
    1562 pages
    ISBN:9781595939913
    DOI:10.1145/1458082
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2008

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    Author Tags

    1. coreference analysis
    2. information extraction
    3. information retrieval

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    CIKM08
    CIKM08: Conference on Information and Knowledge Management
    October 26 - 30, 2008
    California, Napa Valley, USA

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    Cited By

    View all
    • (2017)Entity Markup for Knowledge Base PopulationBig Data Analytics10.1007/978-3-319-72413-3_5(71-89)Online publication date: 25-Nov-2017
    • (2016)Error Link Detection and Correction in WikipediaProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983705(307-316)Online publication date: 24-Oct-2016
    • (2012)Entity clustering across languagesProceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies10.5555/2382029.2382039(60-69)Online publication date: 3-Jun-2012

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