Chinese Keyword Extraction Method Combining Knowledge Graph and Pre-training Model

Keywords represent the theme of the text, which is the condensed concept and content of the text.Through keywords, readers can quickly understand the gist and idea of the text and improve the efficiency of information retrieval.In addition, keyword extraction can also provide support for automatic text summarization and text classification.In recent years, research on automatic keyword extraction has attracted wide attention, but how to extract keywords from documents accurately remains a challenge.On the one hand, the keyword is people's subjective understanding, judging whether a word is a keyword itself is subjective.On the other hand, Chinese words are often rich in semantic information and it is difficult to accurately extract the main idea expressed in the text by solely relying on traditional statistical features and thematic features.Aiming at the problems of low accuracy, information redundancy and information missing in Chinese keyword extraction, this paper proposes an unsupervised keyword extracti