Summarizing email conversations with clue words

Accessing an ever increasing number of emails, possibly on small mobile devices, has become a major problem for many users. Email summarization is a promising way to solve this problem. In this paper, we propose a new framework for email summarization. One novelty is to use a fragment quotation graph to try to capture an email conversation. The second novelty is to use clue words to measure the importance of sentences in conversation summarization. Based on clue words and their scores, we propose a method called CWS, which is capable of producing a summary of any length as requested by the user. We provide a comprehensive comparison of CWS with various existing methods on the Enron data set. Preliminary results suggest that CWS provides better summaries than existing methods. Categories and Subject Descriptors H.2.8 [Database applications]: [Data mining] General Terms Algorithms Keywords Text mining, email summarization

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
• Keywords: Conversation Summarization, Email Summarization, Internet Technology, Method Called Cws, WWW 2007