The Latest Progress in Human-Computer Dialogue System

Abstract

The Human-Computer dialogue system allows a computer to make conversations with humans through natural languages, and some designs can accomplish tasks given by humans. The development of the Human-Computer dialogue system can significantly expand the range of users for computers. The profound ELIZA Program designed scripts containing keywords and their corresponding rule-based sentence transformation to respond to the user. As the computation power increases, Human-Computer dialogue systems are handling more varied and complicated scenarios by introducing deeper and more complex artificial neural networks. The designer of a task-oriented system can choose between the pipeline method and the end-to-end method. The pipeline method is basically a pipeline that lets the user input go through three parts handling Natural Language Understanding, Dialogue Management, and Natural Language Generation, to generate an appropriate response back to the user. The end-to-end method, however, uses joint models to allow the parts to interact with others and get more efficient in handling the information. With the development of ChatGPT, more general language models and more varied methodologies are becoming more prevalent in dialogue systems.