In accordance with the present invention, disclosed are a reading model training method and a reading processing method, relating to natural language processing, deep learning technology fields. More specifically, first training samples of a reference area are inputted into a reference reading model of the reference area and a target reading model of a target area, respectively, to obtain first output data outputted by the reference reading model and second output data outputted by the target reading model, and then, a first training procedure is carried out to the target reading model in accordance with a difference between the first output data and the second output data. As a result, the target reading model is enabled to directly learn reference area knowledge which the reference reading model has already learned, and the target reading model can avoid a procedure of learning the reference area knowledge from the first training samples of the reference area, which can lead to more efficient model training, and a training result can be better than a training result obtained simply with reliance on only the first training samples of the reference area.
TRAINING METHOD OF READING COMPREHENSION MODEL AND PROCESSING METHOD OF READING COMPREHENSION