Civil Aviation Relationship Extraction Model Based on the Combination of Multi-layer Attention Mechanism and Double-layer BiLSTM
To make up for the lack of research on civil aviation event relationship extraction,a re-lationship extraction model based on the combination of attention mechanism and BiLSTM is proposed and applied to the civil aviation field.First of all,select the corpus text of civil aviation emergency e-vents,clean up the selected corpus data,vectorize the words contained in the corpus to generate vectors,merge and connect word attributes,entity locations,etc.,which are introduced into the two-layer BiLSTM model to obtain a higher-level description of the relationship.Secondly,the word and sen-tence-level attention mechanism captures the criticality of each word and reduces the correlation of noise with the help of semantic information.Finally,the extraction results were obtained by softmax classification.The experimental data show that this method is applied to the civil aviation emergency da-ta set,and the F value is up to 79.3％.
万方数据
维普
