Relation extraction method based on part-of-speech information and convolutional neural network

The invention relates to the field of natural language processing, and in particular relates to a relation extraction method based on part-of-speech information and a convolutional neural network. The method comprises the following steps: inputting part-of-speech incorporating characteristic information to the convolutional neural network; and automatically extracting characteristics of information comprising word, part of speech and physical position relative to a to-be-extracted relationship by the convolutional neural network, and automatically sorting the relationships among instances. By accomplishing the automatic extraction of a to-be-processed text characteristic by virtue of the convolutional neural network, during characteristic extraction, a vector of part of speech and a word vector are combined, so that the convolutional neural network can automatically learn more characteristics beneficial for relationship sorting, so that the sorting judgment accuracy is relatively high. Compared with a rule-ba