Named entity recognition of military requirements document based on BERT and global pointer

Zhiying Zhou; Jinhua Wang; Shuoshuo Niu

doi:10.1117/12.2646278

23 August 2022 Named entity recognition of military requirements document based on BERT and global pointer

Zhiying Zhou, Jinhua Wang, Shuoshuo Niu

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 123300J (2022) https://doi.org/10.1117/12.2646278
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

The Correct identification of entities in military requirements documents is an important basis for constructing military requirements graph and realizing information-based operations. Aiming at the problem that the existing named entity recognition methods cannot effectively solve the problem of inaccurate identification of complex named entity boundaries in requirements documents, a small data sample of military requirements documents is studied, and a named entity recognition model based on BERT and global pointers is proposed (BERT-GloP-Rule). The model first uses BERT to encode to obtain deep text semantic information at the word segmentation level and sentence level, and then uses the global pointer to decode, treats the beginning and end of the entity to be identified as a unified whole to discriminate, and finally combines rule matching to complete entity-level semantic information. Requirements document named entity recognition. The experimental results show that the precision of the model on the test set reaches 90%, the recall rate reaches 89%, and the F1 value reaches 91%, which verifies the recognition effect of the BERT-GloP-Rule model on complex entities in the field of military requirements. Significantly better than traditional machine learning models.

Citation Download Citation

Zhiying Zhou, Jinhua Wang, and Shuoshuo Niu "Named entity recognition of military requirements document based on BERT and global pointer", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 123300J (23 August 2022); https://doi.org/10.1117/12.2646278

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