Using Question-Answer Pairs in Extractive Summarization of Email Conversations

Authors:
Kathleen Mckeown;Lokesh Shrestha;Owen Rambow
Affiliations:
Department of Computer Science, Columbia University, New York, NY, USA;Department of Computer Science, Columbia University, New York, NY, USA;Department of Computer Science, Columbia University, New York, NY, USA
Venue:
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2009

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Abstract

While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication, sentence extraction may not result in a coherent summary. In this paper, we present our work on augmenting extractive summaries of threads of email conversations with automatically detected question-answer pairs. We compare various approaches to integrating question-answer pairs in the extractive summaries, and show that their use improves the quality of email summaries.