Course knowledge relationship extraction method and system based on sentence bag attention remote supervision

The invention belongs to the technical field of relationship extraction, and discloses a course knowledge relationship extraction method and system based on sentence bag attention remote supervision,and the method comprises the steps: extracting a knowledge entity through three types of keyword extraction algorithms: TFIDF, TextRank and Word2vec word clustering; automatically obtaining a trainingcorpus from the course teaching text by using a remote supervision method based on the knowledge triple of manual annotation; extracting sentence features by using a PCNN, and denoising a large amount of noise existing in the data labeled by the remote supervision method by using a sentence bag attention mechanism; capturing context semantic information through a word vector with attention, fusing the position information and the type information of the entity to construct entity features, and inputting the entity features into a BiLSTM model to obtain knowledge point relation extraction. Heavy manual labeling work is