Intelligent question-answering system

Abstract

The invention provides an intelligent question-answering system, which comprises more than one question input module, a question bank, a question matching module, a general answer bank, more than one professional answer bank and a question answering module, wherein the question input module is used for inputting a question which needs to be answered and setting a source identifier for the question, the source identifier comprises at least more than two types of large user information, each large user also comprises small users, the large users are mutually independent, and the small users among different large users are independent; and the question answering module finds a corresponding question answer in the professional answer bank or the general answer bank according to the matching result of the question matching module and the source identifier of the question and feeds a corresponding answer back to an answer requirement party according to the source identifier. Through the subdivision of users and the subdivision of answered questions, the intelligent question-answering system can give targeted accurate answers for different question asking parties.

Description

Technical field [0001] The present invention relates to the field of robot intelligent question answering and natural language processing (NLP). The principle is to collect and process limited corpus in a targeted manner to cover a certain and small-scale conversation scene and improve the degree of language recognition. Specifically, it is collected according to industry classification. Process the data of a certain industry, build the industry knowledge base, and realize the intelligent question and answer of an industry, which is especially suitable for the intelligent customer service system. Background technique [0002] With the development of society and the advancement of computer technology, mankind’s yearning for and demand for artificial intelligence has increased. Some leading companies have launched their own chat robots, such as Microsoft Xiaoice, Baidu Xiaodu, and Apple SIRI. Looking at all kinds of chat robots, it is found that these robots rely on big data techno...

AI Technical Summary

Problems solved by technology

[0007] The invention improves the chat robot, adopts a new set of question answer matching method, which is more targeted, sets the background of intelligent service, and solves the current question-and-answer application in some specific fields, such as the accuracy of answering questions by chat robots such as customer service of specific merchants on the Internet low problem

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