Conversation robot system

Abstract

The invention relates to a conversation robot system. The system comprises a multimedia processing module, a multi-channel access module, a scene decision module, a daily conversation subsystem, a question-answer subsystem, an active conversation system, a task conversation subsystem and a state management module. According to the system, besides the abilities of daily conversation, knowledge questioning and answering and task conversation, a conversation robot further can actively trigger a series of specific conversation skills according to specific scenes, chat with a user, collect and verify answers of the user and execute corresponding service commands.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a dialogue robot system. Background technique [0002] A dialogue robot, also known as a chat robot, or a question-and-answer system, refers to a software system that can communicate between humans and machines using natural language. With the advancement of artificial intelligence technology represented by deep learning, the dialogue robot system has ushered in a new round of development boom. At present, dialogue robots have been able to understand the real semantics expressed in natural language questions from users to a certain extent, and can even combine contextual information during the dialogue process to give the most appropriate answers. Because of this, dialogue robots have begun to play an increasingly important role in people's work and life, which also makes the natural language processing technology behind dialogue robots known as the crown jewe...

AI Technical Summary

Problems solved by technology

[0004] However, many service industries have scenarios that require proactive services, especially those that require information collection. Taking the US visa processing service during overseas travel as an example, visa processing service personnel need to ask users hundreds of questions, involving The user's basic information, passport information, occupation and communication information, travel information, family member information, etc. This information collection process is tedious, boring, time-consuming, and error-prone for service personnel

The current passive dialogue robot is limited by the trigger mechanism that relies on the user's active questioning and cannot do these tasks. Therefore, these tasks need to be completed manually, which brings a very large labor cost to the enterprise and restricts the further development of the enterprise.

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