This repository provides neural network implementations for Chinese information extraction, combining IDCNN or biLSTM with a CRF layer for named entity recognition, and using biGRU with dual attention mechanisms for relation extraction. The project uses TensorFlow to implement state-of-the-art deep learning methods for Chinese NLP tasks including word segmentation, entity recognition, and relationship classification between entities.