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Combining document- and paragraph-based entity ranking

Published: 20 July 2008 Publication History

Abstract

We study entity ranking on the INEX entity track and propose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The combined approach improves the retrieval results not only on the INEX testset, but similarly on TREC's expert finding task.

References

[1]
K. Balog, L. Azzopardi, and M. de Rijke. Formal models for expert finding in enterprise corpora. In SIGIR '06, pages 43--50, New York, NY, USA, 2006.
[2]
D. Hiemstra, H. Rode, R. van Os, and J. Flokstra. PFTijah: text search in an XML database system. In Proceedings of the Workshop on Open Source Information Retrieval (OSIR), pages 12--17, 2006.
[3]
D. Petkova and W. B. Croft. Proximity-based document representation for named entity retrieval. In CIKM '07, pages 731--740, New York, NY, USA, 2007.
[4]
T. Tsikrika, P. Serdyukov, H. Rode, T. Westerveld, R. Aly, D. Hiemstra, and A. de Vries. Structured document retrieval, multimedia retrieval, and entity ranking using PF/Tijah. In INEX '07, 2008.
[5]
J. Zhu, D. Song, S. Ruger, M. Eisenstadt, and E. Motta. The open university at TREC 2006 enterprise track expert search task. In TREC '06, 2006.

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    cover image ACM Conferences
    SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
    July 2008
    934 pages
    ISBN:9781605581644
    DOI:10.1145/1390334
    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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    Publication History

    Published: 20 July 2008

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    Author Tags

    1. entity ranking
    2. expert finding
    3. graph-based retrieval

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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