In the field of natural language processing, Named entity recognition (NER) is a essential task. Mathematical formulas usually contain a large number of terminologies, units of measure and other proprietary knowledge, and the integration of this information into the knowledge graph can significantly enhance the semantic expression ability of the graph. By identifying the named entities in data formulas, the key concepts, entities and relationships between them in the knowledge graph can be extracted, establishing basis for the construction of the knowledge graph and making it easier to interpret and analyse in practical applications. Furthermore, the structured knowledge derived from this pr... More >