Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation

Understand

Chinese word segmentation (CWS) is the basic of Chinese natural language processing (NLP).

• The quality of word segmentation will directly affect the rest of NLP tasks.
• Recently, with the artificial intelligence tide rising again, Long Short-Term Memory (LSTM) neural network, as one of easily modeling in sequence, has been widely utilized in various kinds of NLP tasks, and functions well.
• Attention mechanism is an ingenious method to solve the memory compression problem on LSTM.