acl acl2011 acl2011-156 acl2011-156-reference knowledge-graph by maker-knowledge-mining
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Author: Jui-Yu Weng ; Cheng-Lun Yang ; Bo-Nian Chen ; Yen-Kai Wang ; Shou-De Lin
Abstract: This paper presents a system to summarize a Microblog post and its responses with the goal to provide readers a more constructive and concise set of information for efficient digestion. We introduce a novel two-phase summarization scheme. In the first phase, the post plus its responses are classified into four categories based on the intention, interrogation, sharing, discussion and chat. For each type of post, in the second phase, we exploit different strategies, including opinion analysis, response pair identification, and response relevancy detection, to summarize and highlight critical information to display. This system provides an alternative thinking about machinesummarization: by utilizing AI approaches, computers are capable of constructing deeper and more user-friendly abstraction. 1
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