The invention discloses a
machine reading comprehension method based on multi-task joint training, and a computer storage medium. The
machine reading comprehension method comprises a model construction and training stage and a test stage, wherein the model construction and training stage comprises the following steps: 1, constructing a
training set; 2, establishing a
machine reading comprehensionmodel which comprises a coding layer, an attention matching layer and a decoding layer; 3, dividing the
training set into W sub-sample sets according to the number of samples, and training the machinereading comprehension model by using the W sub-sample sets to obtain W
machine reading comprehension models; and the testing stage comprises the steps:
cutting off a to-be-tested article, inputting the processed article and questions into the trained W
machine reading comprehension models, obtaining W predicted answer starting positions, W predicted answer ending positions and W corresponding distribution probabilities, and calculating the average value to serve as the starting position, the ending position and the corresponding distribution probabilities of a final answer. The
machine reading comprehension method can solve the problems that an existing machine reading comprehension method is low in Chinese text accuracy and the like.