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Discovery and scoring of causal assertions in scientific publications

机译:科学出版物中因果断言的发现和评分

摘要

Examples of the disclosure are directed toward generating a causation score with respect to an agent and an outcome, and projecting a future causation score distribution. For example, a causation score may be determined with respect to a hypothesis that a given agent causes a given outcome, and the score may indicate the acceptance of that hypothesis in the scientific community, as described by scientific literature. A future causation score distribution, then, may indicate a probability distribution over possible future causation scores, thereby predicting the scientific acceptance of the hypothesis at some specific date in the future. A future causation score distribution can be projected by first generating one or more future publication datasets, and then determining causation scores for each of the one or more future publication datasets.
机译:本公开的示例针对于针对代理和结果生成因果分数,并预测未来的因果分数分布。例如,如科学文献所描述的,可以针对给定代理导致给定结果的假设来确定因果得分,并且该得分可以指示科学界对该假设的接受。然后,将来的因果关系得分分布可以指示可能的将来的因果关系得分上的概率分布,从而预测在将来某个特定日期对该假设的科学接受。可以通过首先生成一个或多个将来的出版物数据集,然后为一个或多个将来的出版物数据集中的每一个确定因果得分,来预测将来的因果得分分布。

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