acl acl2011 acl2011-71 acl2011-71-reference knowledge-graph by maker-knowledge-mining
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Author: Amjad Abu-Jbara ; Dragomir Radev
Abstract: In citation-based summarization, text written by several researchers is leveraged to identify the important aspects of a target paper. Previous work on this problem focused almost exclusively on its extraction aspect (i.e. selecting a representative set of citation sentences that highlight the contribution of the target paper). Meanwhile, the fluency of the produced summaries has been mostly ignored. For example, diversity, readability, cohesion, and ordering of the sentences included in the summary have not been thoroughly considered. This resulted in noisy and confusing summaries. In this work, we present an approach for producing readable and cohesive citation-based summaries. Our experiments show that the pro- posed approach outperforms several baselines in terms of both extraction quality and fluency.