A named entity identification method and apparatus

Abstract

The embodiment of the present invention provides a named entity identification method and apparatus. The method includes obtaining a text to be recognize; obtaining a character vector corresponding toeach character in the text to be recognized by embedding the text input character into the model, and obtaining a phonetic vector corresponding to each character by embedding the text input characterinto the phonetic embedding model; obtaining combination vectors by combining each character vector and corresponding phonetic vectors, and inputting the combination vectors of all characters into BiLSTM for semantic coding to obtain the corresponding semantic information features of the text to be recognized; obtaining a corresponding entity label sequence in the text to be recognized accordingto the semantic information features. The apparatus is used for performing the method described above. The embodiment of the invention obtains the character vector and the phonetic vector of the textto be recognized respectively according to the character embedding model and the phonetic vector model, and combines the character vector and the phonetic vector and inputs the character vector and the phonetic vector into the BiLSTM for recognition, so the deficiency of the vector representation of the character can be well compensated, and the recognition accuracy is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of language processing, in particular to a named entity recognition method and device. Background technique [0002] Named Entity Recognition (NER) is a basic task in natural language processing, which refers to identifying named referents from text to pave the way for tasks such as relationship extraction. In a narrow sense, it is to identify proper nouns such as names of people, places and organizations. In a particular domain, the various entity types within the domain are defined accordingly. Named entity recognition is an important basic tool in application fields such as information extraction, question answering system, syntax analysis, machine translation, and metadata annotation for Semantic Web. It plays an important role in the process of natural language processing technology becoming practical. [0003] At present, the existing named entity recognition methods are mainly divided into t...

AI Technical Summary

Problems solved by technology

This method makes the training of the model an end-to-end overall process without relying on feature engineering. It is a data-driven method, but the accuracy of this method is not too high when recognizing Chinese.

Images