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Multi-Answer-Focused Multi-document Summarization Using a Question-Answering Engine

机译:使用问题回答引擎的多答案焦点多文档摘要

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摘要

In recent years, answer-focused summarization has gained attention as a technology complementary to information retrieval and question answering. In order to realize multi-document summarization focused by multiple questions, we propose a method to calculate sentence importance using scores, for responses to multiple questions, generated by a Question-Answering engine. Further, we describe the integration of this method with a generic multi-document summarization system. The evaluation results demonstrate that the performance of the proposed method is better than not only several baselines but also other participants' systems at the evaluation workshop NTCIR4 TSC3 Formal Run. However, it should be noted that some of the other systems do not use the information of questions.
机译:近年来,以答案为中心的摘要作为信息检索和问题解答的补充技术而受到关注。为了实现以多个问题为重点的多文档摘要,我们提出了一种使用分数来计算句子重要性的方法,该分数是由问答引擎生成的,用于回答多个问题。此外,我们描述了此方法与通用多文档摘要系统的集成。评估结果表明,在NTCIR4 TSC3正式运行评估研讨会上,该方法的性能不仅优于几个基准,而且还优于其他参与者的系统。但是,应注意,其他一些系统未使用问题信息。

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