Improved Word Segmentation System for Chinese Criminal Judgment Documents
In this paper, a system for automatic word segmentation of Chinese criminal judgment documents is proposed.The system uses a hybrid model composed of fine-tuned BERT (Bidirectional Encoder Representations from Transformers), BiLSTM (Bidirectional Long Short Term Memory) and CRF (Conditional Random Field) for named entity recognition, and introduces