An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions

Chaochen Wu, Guan Luo, Chao Guo, Yin Ren, Anni Zheng, Cheng Yang

Abstract: Highlights•An attention-based multi-task model for text classification and sequence tagging.•A multi-task learning framework for named entity recognition and intent analysis.•Our neural network model could be used to build a simple question-answering system.•Users and service providers can monitor the logic of the answers by this system.