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TRAINING METHOD OF READING COMPREHENSION MODEL AND PROCESSING METHOD OF READING COMPREHENSION

机译:阅读理解模型的培训方法和阅读理解的处理方法

摘要

The present invention discloses a reading comprehension model training method and a reading comprehension processing method, which relates to the fields of natural language processing and deep learning technology. A specific implementation method may include inputting the first training sample of the reference region into the reference reading comprehension model of the reference region and the target reading comprehension model of the target region, respectively, and first output data output by the reference reading comprehension model and second output data output by the target reading comprehension model The second output data is obtained, and a first training process is performed on the target reading comprehension model according to the difference between the first output data and the second output data, thereby causing the target reading comprehension model to directly apply the reference region knowledge already learned by the reference reading comprehension model. learning, and the target reading comprehension model avoids the process of learning the reference region knowledge from the first training sample of the reference region, so that the model training is more efficient, and the training result obtained by simply relying only on the first training sample of the reference region You can get better training results.
机译:本发明公开了一种阅读理解模型训练方法和阅读理解处理方法,涉及自然语言处理和深度学习技术领域。特定实现方法可以包括将参考区域的第一训练样本输入参考区域的参考读取理解模型以及目标区域的目标读取理解模型,以及参考读取理解模型输出的第一输出数据由目标读取理解模型输出的第二输出数据获得第二输出数据,并且根据第一输出数据和第二输出数据之间的差异对目标读取理解模型执行第一训练过程,从而导致目标读数理解模型直接应用参考阅读理解模型已经学习的参考区域知识。学习和目标阅读理解模型避免了从参考区域的第一个训练样本中学习参考区域知识的过程,因此模型训练更有效,并且仅仅通过仅依赖于第一训练样本而获得的培训结果参考区域您可以获得更好的培训结果。

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