Though information extraction (IE) research has more than a 25-year history, F1 scores remain low. Thus, one could question continued investment in IE research. In this article, we present three applications where information extraction of entities, relations, and/or events has been used, and note the common features that seem to have led to success. We also identify key research challenges whose solution seems essential for broader successes. Because a few practical deployments already exist and because breakthroughs on particular challenges would greatly broaden the technology’s deployment, further R&D investments are justified.

中文翻译：

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使用最先进的信息提取技术可以完成什么？个人观点

尽管信息提取 (IE) 研究已有超过 25 年的历史，但 F1 分数仍然很低。因此，人们可能会质疑对 IE 研究的持续投资。在本文中，我们展示了三个应用程序，其中使用了实体、关系和/或事件的信息提取，并注意似乎导致成功的共同特征。我们还确定了关键的研究挑战，其解决方案似乎对更广泛的成功至关重要。由于已经存在一些实际部署，并且因为对特定挑战的突破将大大拓宽该技术的部署，因此进一步的研发投资是合理的。