Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 111-114.

• Intelligent Computing • Previous Articles     Next Articles

Study on Named Entity Recognition Model Based on Attention Mechanism——Taking Military Text as Example

SHAN Yi-dong1, WANG Heng-jun1, HUANG He2, YAN Qian3   

  1. The Third Institute,PLA Information Engineering University,Zhengzhou 450001,China1;
    61660 Army,Beijing 100000,China2;
    Shandong Military District,Jinan 250000,China3
  • Online:2019-06-14 Published:2019-07-02

Abstract: Due to the insufficiency of extracting features by bi-directional long-short term memory network model,the character vector and the word vector are used as the input and the attention mechanism is used to extract the features that are useful for the current output.In this paper,a new named entity recognition model was constructed by constraining the final output tag sequence with the Viterbi algorithm.The experimental results show that the model has achieved a better recognition rate in the identification of military texts.

Key words: Attention mechanism, Character vector, Word vector

CLC Number: 

  • TP391
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