document: 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 .
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