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Continuous learning based semantic matching for textual samples

机译:基于持续学习的文本样本语义匹配

摘要

A method may include receiving, by a device, an input sample of textual content. The method may include identifying, by the device, a comparison sample that is semantically similar to the input sample. The comparison sample may be identified based on a similarity score, of the comparison sample and the input sample, satisfying a semantic similarity threshold. The method may include identifying, by the device, a plurality of output samples of textual content based on acceptance information corresponding to the plurality of output samples and the comparison sample. The acceptance information may be determined based on a user input regarding similarity or relevance of the plurality of output samples and the comparison sample, and the user input may be received before the input sample is received.
机译:一种方法可以包括由设备接收文本内容的输入样本。该方法可以包括由设备识别语义上类似于输入样本的比较样本。可以基于比较样本和输入样本的满足语义相似性阈值的相似性分数来识别比较样本。该方法可以包括由设备基于与多个输出样本和比较样本相对应的接受信息来识别文本内容的多个输出样本。可以基于关于多个输出样本和比较样本的相似性或相关性的用户输入来确定接受信息,并且可以在接收输入样本之前接收用户输入。

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