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Some Reflections on the Task of Content Determination in the Context of Multi-Document Summarization of Evolving Events

机译:关于语境中内容决定任务的几点思考   演进事件的多文档摘要

摘要

Despite its importance, the task of summarizing evolving events has receivedsmall attention by researchers in the field of multi-document summariztion. Ina previous paper (Afantenos et al. 2007) we have presented a methodology forthe automatic summarization of documents, emitted by multiple sources, whichdescribe the evolution of an event. At the heart of this methodology lies theidentification of similarities and differences between the various documents,in two axes: the synchronic and the diachronic. This is achieved by theintroduction of the notion of Synchronic and Diachronic Relations. Thoserelations connect the messages that are found in the documents, resulting thusin a graph which we call grid. Although the creation of the grid completes theDocument Planning phase of a typical NLG architecture, it can be the case thatthe number of messages contained in a grid is very large, exceeding thus therequired compression rate. In this paper we provide some initial thoughts on aprobabilistic model which can be applied at the Content Determination stage,and which tries to alleviate this problem.
机译:尽管它很重要,但在多文档摘要化领域中,摘要不断发展的事件的任务已受到研究人员的很少关注。在先前的论文中(Afantenos等,2007),我们介绍了一种自动汇总由多个来源发出的文档的方法,该方法描述了事件的演变。这种方法的核心是在两个轴上确定共时和历时的不同文献之间的异同。这是通过引入同步和历时关系的概念来实现的。这些关系连接了文档中找到的消息,因此生成了我们称为网格的图形。尽管网格的创建完成了典型NLG体系结构的“文档计划”阶段,但可能是网格中包含的消息数量非常大,超过了所需的压缩率。在本文中,我们对概率模型提供了一些初步的想法,该模型可以在内容确定阶段应用,并试图缓解这一问题。

著录项

  • 作者

    Afantenos, Stergos D.;

  • 作者单位
  • 年度 2007
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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