从财经新闻中提取概念信息

Lisa F. Rau
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引用次数: 5

摘要

描述了概念信息总结、组织和检索系统(SCISOR),这是一个研究系统,由一组程序组成,用于解析公司收购和金融领域的简短报纸文本。然后可以通过自然语言接口访问从这些故事中提取的概念信息。讨论了SCISOR的初步系统实现和目标,并对激发所采取的计算方法的领域的一些特征以及系统目标本身进行了检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptual information extraction from financial news
A description is given of the System for Conceptual Information Summarization, Organization, and Retrieval (SCISOR), a research system that consists of a set of programs to parse short newspaper texts in the domain of corporate takeovers and finance. The conceptual information extracted from these stories may then be accessed through a natural language interface. The preliminary system implementation and objectives of SCISOR is discussed, and some of the features of the domain that motivate the computational approach taken, as well as the system objectives themselves, are examined.<>
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