自然语言处理算法在新闻报道信息提取中的应用。

Canada communicable disease report = Releve des maladies transmissibles au Canada Pub Date : 2020-06-04 DOI:10.14745/ccdr.v46i06a06

V. Ng, E. Rees, Jingcheng Niu, Abdelhamid Zaghlool

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引用次数: 12

摘要

本文的重点是自然语言处理(NLP)在基于事件的监视(EBS)系统中的信息提取应用。我们描述了EBS系统中常见的从开源新闻文章和媒体来源中提取信息的应用程序、方法、在公共卫生中的价值、挑战和新兴发展。

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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Application of natural language processing algorithms for extracting information from news articles in event-based surveillance.

The focus of this article is the application of natural language processing (NLP) for information extraction in event-based surveillance (EBS) systems. We describe common information extraction applications from open-source news articles and media sources in EBS systems, methods, value in public health, challenges and emerging developments.

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Canada communicable disease report = Releve des maladies transmissibles au Canada

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