Tourism named entity identification method based on BBLC model

The invention discloses a tourism named entity recognition method based on a BBLC model, and the method comprises the steps: carrying out the BIO marking of statements in a corpus, and obtaining a BIOmarking set; inputting the BIO annotation set into a BERT pre-training language model, and outputting vector representation of each word in the statement, namely a word embedding sequence in each statement; 3, taking the word embedding sequence as the input of each time step of the bidirectional LSTM, and carrying out the further semantic coding to obtain a statement feature matrix; taking the statement feature matrix as input of a CRF model, labeling and decoding the statement x to obtain a word label sequence of the statement x, outputting a probability value that a label of the statement xis equal to y, solving an optimal path by using a dynamically planned Viterbi algorithm, and outputting a label sequence with the maximum probability. According to the method, local context information can be obtained by addi