A method and device for man-machine dialogue based on knowledge graph

Abstract

The invention discloses a method and a device for man-machine dialogue based on a mapping knowledge domain. The method comprises the following steps: S1, receiving a statement transmitted by a user, and acquiring an above statement category of the statement; S2, determining a final category of the statement; S3, extracting feature words of the statement through the mapping knowledge domain, and judging whether all the feature words are associated or not; S4, performing dialogue matching on the statement according to a chat dialogue library; S5, performing regular pattern matching on the statement; s6, performing analysis processing according to the category of the statement and generating a reply. According to the method and the device disclosed by the invention, the category of the statement is controlled to a certain degree; in addition, a general knowledge quiz and a customized open field quiz are enabled to be unified in the same flow, and the flow is different from an existing flow that the search of questions and answers is performed by only relying on the chat library and a classifying model in an automatic question-answering system; in addition, by adding a technology of template matching and mapping knowledge domain search, the man-machine dialogue is more abundant.

Description

technical field [0001] The invention belongs to data processing of man-machine question answering, in particular to a method and device for man-machine dialogue based on knowledge graph. Background technique [0002] The intelligent question answering system accurately locates the questioning knowledge needed by website users in the form of one question and one answer, and provides personalized information services for website users by interacting with website users. [0003] The intelligent question answering system organizes the accumulated unordered corpus information in an orderly and scientific manner, and establishes knowledge-based classification models; these classification models can guide newly added corpus consultation and service information, save human resources, and improve the efficiency of information processing. Automated, reducing website operating costs. Based on the common questions and answers about the basic situation of the government and enterprises ...

AI Technical Summary

Problems solved by technology

[0004] Nowadays, intelligent question answering systems usually process sentences with the help of natural language processing and full-text search technology, and a single method usually has a lower accuracy rate in some cases.

In the past, the intelligent question answering system was only aimed at the question answering in a certain field. For the question answering system in the open domain, there is no general-purpose and scalable processing flow.

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