The invention discloses a Chinese named entity extraction method based on a multi-annotation framework and fusion features. The Chinese named entity extraction method comprises the steps that: firstly, Chinese characters are coded based on a pre-training language model; then, word information and word segmentation mark information are introduced for each Chinese character through dictionary matching, and dictionary features are constructed; on the basis, according to the meaning of the Chinese character in the matched word, phonetic notation is carried out on the Chinese character by using Chinese pinyin software, and pinyin features are constructed; thirdly, the dictionary features and the pinyin features are fused into Chinese character codes on the basis of a click-ride attention mechanism, Chinese character semantic codes combining the dictionary features and the pinyin features are obtained, and the recognition capacity for the Chinese named entity boundary is improved; and finally, the advantages of sequence labeling and index labeling are combined, two labeling tasks are jointly learned through a multi-task learning model, and the accuracy of Chinese named entity extraction is improved.