Enhanced semantic named entity recognition method for bridge field text

The invention discloses an enhanced semantic named entity recognition method for a bridge field text, and particularly relates to the technical field of natural language processing, deep learning and artificial intelligence. According to the specific implementation scheme, a document set where to-be-recognized entities in the bridge engineering field are located is obtained, and corpus text data of the to-be-recognized entities in the selected document set are analyzed; labeling a small amount of data and dividing labeled samples into a training set, a verification set and a test set; the double-tower model is trained through the training set, and then the double-tower model is verified and adjusted to be an optimal model through the verification set; the verified optimal double-tower model is tested through a test set; and performing named entity recognition on the to-be-recognized text in the bridge engineering database by using the verified double-tower model. According to the method, complex specific name