Information extraction from email announcements

Authors:
Viktor Pekar
Affiliations:
Research Group for Computational Linguistics, University of Wolverhampton, Wolverhampton, UK
Venue:
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Year:
2005

Citing 2
Cited 0

Learning Information Extraction Rules for Semi-Structured and Free Text

Machine Learning - Special issue on natural language learning
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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.