Knowledge retrieving method of artificial intelligence dialogue and knowledge base automatic improving method

Abstract

The invention provides a knowledge retrieving method of an artificial intelligence dialogue and a knowledge base automatic improving method. The knowledge retrieving method of the artificial intelligence dialogue comprises the steps of 1, obtaining a question statement of a user; 2, conducting semantic and intention analysis on the question statement to obtain a question identification; 3, according to the question identification, searching for a local answer in a local knowledge base; 4, obtaining the local answer, and fusing local question data and replying the local question data to the user; 5, when the local answer is not searched in the local knowledge base, according to the question identification, searching for a remote answer in a data source; 6, obtaining the remote answer, and fusing the remote answer and replying the remote answer to the user. According to the knowledge retrieving method of the artificial intelligence dialogue and the knowledge base automatic improving method, when the local knowledge base has no resource, the remote answer in the data source is searched for, and the occurrence that because entity coverage of a mapping knowledge domain is not sufficient, during a human-computer dialogue, a robot cannot give an answer is avoided.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a knowledge retrieval method for artificial intelligence dialogue and a knowledge base automatic improvement method. Background technique [0002] There are a large number of descriptions of various events in human life in natural language (as small as an action, as large as a historical event), and also include the time, place, participating roles, status, and relationship between events, etc. with a description of the characteristics. With the rise of Internet-related technologies, people rely more and more on the Internet to obtain information, and the information on the Internet presents characteristics such as massive, rapid increase, and redundancy. In order to better monitor and use the information, let Machines can analyze events in text, and event-oriented sentence analysis research is becoming more and more important, which is related to the interactivity of the ar...

AI Technical Summary

Problems solved by technology

[0004] The quality of knowledge Q&A of this type of artificial intelligence dialogue system is limited by the entity coverage of its knowledge map and the update frequency of knowledge mining and discovery.

[0005] (1) The entity coverage of the knowledge map is not enough, resulting in the human-machine dialogue, the relevant knowledge robot asked by the user cannot give the answer;

[0006] (2) The update frequency of knowledge mining and discovery is not enough, which leads to the inability of robots to give answers to emerging knowledge during man-machine dialogue

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