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Exploring example-based person search in email

Published: 12 August 2012 Publication History

Abstract

This paper describes an entity ranking model for example-based person search in email. Evaluation by comparison to manually resolved named references in Enron email yield results that correspond to typically placing the correct entity in the first or second rank.

References

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K. Balog, L. Azzopardi, and M. de Rijke. A language modeling framework for expert finding. Information Processing & Management, 45(1):1--19, 2009.
[2]
A. P. de Vries et al. Overview of the INEX 2007 entity ranking track. In INEX, pages 245--251. 2007.
[3]
T. Elsayed. Identity resolution in email collections. PhD thesis, University of Maryland, 2009.
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T. Elsayed and D. Oard. Modeling identity in archival collections of email: A preliminary study. In Conference on Email and Anti-Spam, pages 95--103. 2006.
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B. Klimt and Y. Yang. The Enron corpus: A new dataset for email classification research. In ECML, pages 217--226. 2004.
[6]
H. Zaragoza, H. Rode, P. Mika, J. Atserias, M. Ciaramita, and G. Attardi. Ranking very many typed entities on wikipedia. In CIKM, pages 1015--1018. 2007.

Cited By

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  • (2017)Person entity linking in email with NIL detectionJournal of the Association for Information Science and Technology10.5555/3204593.320460368:10(2412-2424)Online publication date: 1-Oct-2017
  • (2017)Characterizing Email Search using Large-scale Behavioral Logs and SurveysProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052615(1511-1520)Online publication date: 3-Apr-2017
  • (2017)Person entity linking in email with NIL detectionJournal of the Association for Information Science and Technology10.1002/asi.2388868:10(2412-2424)Online publication date: 4-Jul-2017

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  1. Exploring example-based person search in email

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      cover image ACM Conferences
      SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
      August 2012
      1236 pages
      ISBN:9781450314725
      DOI:10.1145/2348283

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 August 2012

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      Author Tags

      1. email
      2. entity retrieval
      3. name resolution

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

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      View all
      • (2017)Person entity linking in email with NIL detectionJournal of the Association for Information Science and Technology10.5555/3204593.320460368:10(2412-2424)Online publication date: 1-Oct-2017
      • (2017)Characterizing Email Search using Large-scale Behavioral Logs and SurveysProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052615(1511-1520)Online publication date: 3-Apr-2017
      • (2017)Person entity linking in email with NIL detectionJournal of the Association for Information Science and Technology10.1002/asi.2388868:10(2412-2424)Online publication date: 4-Jul-2017

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