WIRE: An Automated Report Generation System using Topical and Temporal Summarization

Yunseok Noh, Yongmin Shin, Junmo Park, A.-Yeong Kim, S. Choi, Hyun-Je Song, Seong-Bae Park, Seyoung Park
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引用次数: 7

Abstract

The demand for a tool for summarizing emerging topics is increasing in modern life since the tool can deliver well-organized information to its users. Even though there are already a number of successful search systems, the system which automatically summarizes and organizes the content of emerging topics is still in its infancy. To fulfill such demand, we introduce an automated report generation system that generates a well-summarized human-readable report for emerging topics. In this report generation system, emerging topics are automatically discovered by a topic model and news articles are indexed by the discovered topics. Then, a topical summary and a timeline summary for each topic is generated by a topical multi-document summarizer and a timeline summarizer respectively. In order to enhance the apprehensibility of the users, the proposed report system provides two report modes. One is Today's Briefing which summarizes five discovered topics of every day, and the other is Full Report which shows a long-term view of each topic with a detailed topical summary and an important event timeline.
WIRE:使用主题和时间摘要的自动报告生成系统
在现代生活中,对总结新兴主题的工具的需求正在增加,因为该工具可以向其用户提供组织良好的信息。尽管已经有了一些成功的搜索系统,但是自动总结和组织新兴主题内容的系统还处于起步阶段。为了满足这样的需求,我们引入了一个自动报告生成系统,该系统可以为新出现的主题生成一个总结良好的人类可读报告。在这个报告生成系统中,新出现的主题由主题模型自动发现,新闻文章由发现的主题建立索引。然后,由主题多文档摘要器和时间轴摘要器分别生成每个主题的主题摘要和时间轴摘要。为了增强用户的可理解性,提出的报表系统提供了两种报表模式。一个是今天的简报,总结了每天发现的五个话题,另一个是完整的报告,展示了每个话题的长远观点,有详细的话题总结和重要的事件时间表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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