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Information Extraction from Email Announcements

  • Viktor Pekar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3513)

Abstract

Public email announcements present a number of unique challenges for an Information Extraction (IE) system, such as the presence of both free and semi-structured text, inconsistent document layout and widely varying formats of template fillers. In this paper we describe a study of parametrisation of an IE method to determine settings that best suit the specifics of the task at hand.

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References

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    De Sitter, A., Daelemans, W.: Information Extraction via Double Classification. In: Proc. of the ECML/PKDD 2003 Workshop on Adaptive Text Extraction and Mining, Cavtat- Dubrovnik, Croatia (2003)Google Scholar
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    Soderland, S.: Learning Information Extraction Rules for Semi-structured and Free Text. Machine Learning 34, 233–272 (1999)zbMATHCrossRefGoogle Scholar
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    Witten, I., Frank, E.: Data Mining – Practical Machine Learning Tools and Techniques with Java Implementations. Morgan-Kaufmann, San Francisco (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Viktor Pekar
    • 1
  1. 1.Research Group for Computational LinguisticsUniversity of WolverhamptonWolverhamptonUK

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