GIST-IT: summarizing email using linguistic knowledge and machine learning

Authors:
Evelyne Tzoukermann;Smaranda Muresan;Judith L. Klavans
Affiliations:
Bell Labs, Lucent Technologies, Murray Hill, NJ;Columbia University, New York, NY;Columbia University, New York, NY
Venue:
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
Year:
2001

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Abstract

We present a system for the automatic extraction of salient information from email messages, thus providing the gist of their meaning. Dealing with email raises several challenges that we address in this paper: heterogeneous data in terms of length and topic. Our method combines shallow linguistic processing with machine learning to extract phrasal units that are representative of email content. The GIST-IT application is fully implemented and embedded in an active mailbox platform. Evaluation was performed over three machine learning paradigms.