An adaptive multi-neural network model for named entity recognition of Chinese mechanical equipment corpus

Keyphrases

• Neural Network Model 100%
• Named Entity Recognition 100%
• Mechanical Equipment 100%
• Multiple Neural Networks 100%
• BiLSTM-CRF 55%
• Rate-based Model 22%
• Adaptive Input 11%
• Collaboration Model 11%
• Model Selection 11%
• Named Entity 11%
• Selection Evaluation 11%
• Network Collaboration 11%
• Rating Score 11%
• Input Mechanism 11%
• Knowledge Graph 11%
• Intelligent Manufacturing 11%
• Large Language Models 11%
• Model Adaptive 11%

Computer Science

• Neural Network Model 100%
• Named Entity Recognition 100%
• Bidirectional Long Short-Term Memory Network 100%
• Bidirectional Encoder Representations From Transformers 100%
• Neural Network 20%
• Collaboration Model 20%
• Experimental Result 20%
• Domain Knowledge 20%
• Large Language Model 20%

Engineering

• Network Model 100%
• Mechanical Equipment 100%
• Experimental Result 11%
• Rating Score 11%
• Domain Knowledge 11%