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A Knowledge-Based Health Question Answering System

机译:基于知识的健康问答系统

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With the quickly increasing of the Question Answering (QA) corpus, the health QA systems provide a convenient way for patients to provide instant service, and the effectiveness of the answer is a very important and challenging problem to be solved. Therefore, this paper proposes a solution based on medical knowledge base. In the process of generating answers, we utilize the entity set provided by medical knowledge base to calculate the correlation between answers and questions, at the same time we make use of the entities provided by relationships in the knowledge base but not appearing in the answers. Experiment conducted on a real data set in our HealthQA system shows that our method can effectively improve the relevance and accuracy of answer matching by using the medical knowledge base.
机译:随着问答(QA)语料库的迅速增加,健康问答系统为患者提供即时服务提供了便捷的方式,答案的有效性是一个非常重要且具有挑战性的问题。因此,本文提出了一种基于医学知识库的解决方案。在生成答案的过程中,我们利用医学知识库提供的实体集来计算答案和问题之间的相关性,与此同时,我们利用知识库中关系提供的但未出现在答案中的实体。在HealthQA系统中对真实数据集进行的实验表明,我们的方法可以利用医学知识库有效地提高答案匹配的相关性和准确性。

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