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In this paper, we present an automatic abstractive summarization system of meeting conversations. Our system ex-tends a novel multi-sentence fusion algo-rithm in order to generate abstract tem-plates. It also leverages the relationship between summaries and their source meeting transcripts to select the best templates for generating abstractive summaries of meetings. Our manual and automatic evaluation results demonstrate the success of our system in achieving higher scores both in readability and in-formativeness. 1.
Oya et al. (Wed,) studied this question.
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