A Chinese word segment model for energy literature based on Neural Networks with Electricity User Dictionary

Hybrid Feature Fusion Learning Towards Chinese Chemical Literature Word Segmentation

“…The recognition accuracy of some common character groups that have a high frequency of co-occurrence but not words is poor, and the space-time cost is large. In recent years, researchers have proposed neural network-based CWS tasks because of its excellent non-linear mapping ability, self-learning ability and the advantages of effectively reducing the workload of feature engineering [14]- [16].…”