Routing email automatically by purpose not topic

  • Authors:
  • Hamid Khosravi;Yorick Wilks

  • Affiliations:
  • 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;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

  • Venue:
  • Natural Language Engineering
  • Year:
  • 1999

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Abstract

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.