کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
515744 | 867088 | 2008 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Single-document and multi-document summarization techniques for email threads using sentence compression Single-document and multi-document summarization techniques for email threads using sentence compression](/preview/png/515744.png)
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.
Journal: Information Processing & Management - Volume 44, Issue 4, July 2008, Pages 1600–1610