Remote supervision relation classification method based on PCNN and multi-layer attention

The invention relates to a remote supervision relation classification method based on PCNN and multi-layer attention, and belongs to the technical field of information. The method comprises two stages: a stage of training a relationship classification model and a prediction stage. The stage of training the relationship classification model further comprises the following steps: 1) preprocessing training corpora of the relationship classification model; 2) establishing a relationship classification model based on the PCNN and Multi-level action, and training model parameters; 3) training a model and optimizing model parameters; 4) storing the trained relationship classification model. In the prediction stage, the trained relation classification model is used for carrying out relation category prediction on to-be-predicted data. According to the algorithm provided by the invention, the relationship type between entities in the sentence can be determined more accurately, and a good foundation is provided for som