自动注释的处置计数在新闻文章。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI:10.3233/SHTI250502

Simon Rodier, Dave Carter

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引用次数: 0

摘要

新闻媒体汇总并报道危机期间的处置情况：有多少人受影响、疑似受影响、死亡、康复或已康复；而且他们倾向于以一种及时和值得信赖的方式这样做。我们提出并评估了一种在非结构化自然语言文本中识别这些计数的方法，该方法支持下游任务，如自动创建流行曲线。

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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Automatic Annotation of Disposition Counts in News Articles.

News media aggregate and report disposition counts during crises: how many people are affected, suspected affected, have died, and have recovered or been recovered; and they tend to do so in a timely and trustworthy manner. We present and evaluate a method for identifying these counts in unstructured natural language text, supporting downstream tasks such as automatic creation of epidemic curves.

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来源期刊

Studies in health technology and informatics

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