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Proximity information retrieval boost method for medical knowledge question answering systems

机译:医学知识问题应答系统的邻近信息检索促进方法

摘要

A method and apparatus include receiving a first sentence including a first set of words, and a second sentence including a second set of words. A first set of vectors corresponding to the first set of words of the first sentence, and a second set of vectors corresponding to the second set of words of the second sentence are generated using a word embedding model. A similarity matrix based on the first set of vectors and the second set of vectors is generated. An alignment score associated with the first set of vectors and the second set of vectors is determined using the similarity matrix. The alignment score is transmitted to permit information retrieval based on a similarity between the first sentence and the second sentence.
机译:一种方法和装置包括接收包括第一组词的第一句子,以及包括第二组词的第二句子。 使用单词嵌入模型生成第一组与第一句话的第一组单词和对应于第二句子的第二组单词的第二组矢量集的第一组矢量。 生成基于第一组矢量和第二组矢量的相似性矩阵。 使用相似性矩阵确定与第一组矢量和第二组矢量相关联的对准分数。 传输对准分数以允许基于第一句和第二句子之间的相似性检索的信息检索。

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