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Generating Natural Language Summaries from Multiple On-Line Sources

机译:从多个在线源生成自然语言摘要

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摘要

We present a methodology for summarization of news about current events in the form of briefings that include appropriate background (historical) information. The system that we developed, SUMMONS, uses the output of systems developed for the DARPA Message Understanding Conferences to generate summaries of multiple documents on the same or related events, presenting similarities and differences, contradictions, and generalizations among sources of information. We describe the various components of the system, showing how information from multiple articles is combined, organized into a paragraph, and finally, realized as English sentences. A feature of our work is the extraction of descriptions of entities such as people and places for reuse to enhance a briefing.
机译:我们以简报的形式(其中包括适当的背景(历史)信息)的形式介绍有关时事新闻的方法。我们开发的系统SUMMONS使用为DARPA消息理解会议开发的系统的输出来生成关于相同或相关事件的多个文档的摘要,从而在信息源之间呈现出相似性和差异性,矛盾性和概括性。我们描述了系统的各个组成部分,展示了如何将来自多篇文章的信息进行组合,组织成一个段落,最后实现为英语句子。我们工作的一个特点是提取诸如人和地点之类的实体的描述,以供重复使用,以加强介绍。

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