Summarizing Spoken and Written Conversations.

EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing(2008)

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摘要
In this paper we describe research on summarizing conversations in the meetings and emails domains. We introduce a conversation summarization system that works in multiple domains utilizing general conversational features, and compare our results with domain-dependent systems for meeting and email data. We find that by treating meetings and emails as conversations with general conversational features in common, we can achieve competitive results with state-of-the-art systems that rely on more domain-specific features.
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关键词
general conversational feature,emails domain,competitive result,conversation summarization system,domain-dependent system,domain-specific feature,email data,multiple domain,state-of-the-art system,written conversation
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