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Generating comparative summaries of contradictory opinions in text

Generating comparative summaries of contradictory opinions in text,10.1145/1645953.1646004,Hyun Duk Kim,Chengxiang Zhai

Generating comparative summaries of contradictory opinions in text   (Citations: 2)
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ABSTRACT This paper presents a study of a novel summarization,problem called contrastive opinion summarization,(COS). Given two sets of posi- tively and negatively opinionated sentences which are often the out- put of an existing opinion summarizer, COS aims to extract compa- rable sentences from each set of opinions and generate a compara- tive summary,containing a set of contrastive sentence pairs. We for- mally formulate the problem,as an optimization problem and pro- pose two general methods,for generating a comparative summary using the framework, both of which rely on measuring the content similarity and contrastive similarity of two sentences. We study several strategies to compute,these two similarities. We also create a test data set for evaluating such a novel summarization,problem. Experiment results on this test set show that the proposed methods are effective for generating comparative,summaries,of contradic- tory opinions. Categories and Subject Descriptors
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