Entity recognition model training method and entity recognition method and apparatus using them

A computer-implemented entity recognition method for an entity recognition model, comprising executing on a processor steps of:

• obtaining a to-be-recognized text and performing entity recognition on the to-be-recognized text using an entity recognition model to obtain a plurality of recognition results;
• outputting a tag sequence corresponding to the recognition results and performing probability calculation on the tag sequence;
• and
• outputting the tag sequence with the highest probability to use as an accurate recognition result corresponding to the to-be-recognized text.

An entity recognition apparatus, comprising:

• a processor;
• and
• a memory coupled to the processor;
• wherein the memory is configured to store a computer program executable on the processor, and the computer program comprises:
• instructions for obtaining a training text and matching the training text with a database to obtain a plurality of matching results;
• instructions for processing the matching results to obtain a plurality of feature vectors corresponding to the matching results;
• instructions for obtaining a word vector corresponding to each word in the training text by processing the training text;
• and
• instructions for training an initial entity recognition model based on the feature vector and the word vector to obtain an entity recognition model.