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Routing email automatically by purpose not topic

Published online by Cambridge University Press:  01 September 1999

HAMID KHOSRAVI  and
YORICK WILKS
HAMID KHOSRAVI
Affiliation:
Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK; e-mail: h.khosravi@dcs.shef.ac.uk, y.wilks@dcs.shef.ac.uk
YORICK WILKS
Affiliation:
Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK; e-mail: h.khosravi@dcs.shef.ac.uk, y.wilks@dcs.shef.ac.uk
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Abstract

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In this paper we present results concerning the large scale automatic extraction of pragmatic content from email by a system based on a phrase matching approach to speech act detection combined with empirical detection of speech act patterns in corpora. The results show that most speech acts that occur in this corpus can be recognized by the approach. This investigation is supported by analysis of a corpus consisting of 1000 emails.

Information

Type
Research Article
Information
Natural Language Engineering , Volume 5 , Issue 3 , September 1999 , pp. 237 - 250
Copyright
© 1999 Cambridge University Press