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Single-document and multi-document summarization techniques for email threads using sentence compression
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DOI：10.1016/j.ipm.2007.09.007.png)
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We present two approaches to email thread summarization: collective message summarization (CMS) applies a multi-document summarization approach, while individual message summarization (IMS) treats the problem as a sequence of single-document summarization tasks. Both approaches are implemented in our general framework driven by sentence compression. Instead of a purely extractive approach, we employ linguistic and statistical methods to generate multiple compressions, and then select from those candidates to produce a final summary. We demonstrate these ideas on the Enron email collection - a very challenging corpus because of the highly technical language. Experimental results point to two findings: that CMS represents a better approach to email thread summarization, and that current sentence compression techniques do not improve summarization performance in this genre. (C) 2007 Elsevier Ltd. All rights reserved.
Keyword:
email summarization
sentence compression
trimming
Enron
informal media
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