English Semantic Analysis Method Based on Bi-LSTM Network

Abstract

Semantic analysis is a hot and difficult problem in the field of natural language processing for many years. English frame semantic role recognition is an important part of English oriented frame semantic analysis. At present, the neural network based on bidirectional long-term and short-term memory (bilstm) is widely used in semantic role recognition and annotation tasks, and has achieved good results. However, this kind of model also has some problems, such as unstable prediction results and poor reproducibility. Therefore, this paper studies the semantic analysis based on bilstm model, which plays a good role.