Incremental Learnable Dialog System
Intelligent dialog system has been widely used to help human with different aspects such as Apple Siri, Microsoft Xiaoice in nowadays. However, for most of the dialog systems, if the users provide feedback about what errors that system has made, the system can not update automatically but only with the manual. Therefore, we build a hybrid incremental learnable rule-based deep learning dialog system, named Cassandra (. First, the system can enable the manual to update the rules. Moreover, with using deep learning, the system can update those rules automatically by analyzing user’s feedback. We intend to implement this system in the university course selection first and explore more application possibilities in the future.