State-of-the-art machine reading methods extract, in hours, hundreds of thousands of events from the biomedical literature. However, many of the extracted biomolecular interactions are incorrect or not relevant for computational modeling of a system of interest. Therefore, rapid, automated methods are required to filter and select accurate and useful information. The FiLter for Understanding True Events (FLUTE) tool uses public protein interaction databases to filter interactions that have been extracted by machines from databases such as PubMed and score them for accuracy. Confidence in the interactions allows for rapid and accurate model assembly. As our results show, FLUTE can reliably determine the confidence in the biomolecular interactions extracted by fast machine readers and at the same time provide a speedup in interaction filtering by three orders of magnitude.

中文翻译：

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FLUTE：从生物医学文献中快速可靠地检索知识。

先进的机器读取方法可在数小时内从生物医学文献中提取数十万个事件。但是，许多提取的生物分子相互作用是不正确的，或者与目标系统的计算模型无关。因此，需要快速，自动化的方法来筛选和选择准确和有用的信息。理解真实事件过滤器（FLUTE）工具使用公共蛋白质相互作用数据库过滤由机器从PubMed等数据库中提取的相互作用，并对它们进行准确性打分。对交互的信心使快速而准确的模型组装成为可能。正如我们的结果所示，