Smart robot-oriented question and answer data processing method and apparatus

Abstract

The invention discloses a smart robot-oriented question and answer data processing method and apparatus. The method comprises a condition judgment step, a knowledge graph processing step and a result output step, wherein the condition adjustment step is implemented by performing syntactic analysis on a query statement input by a user, judging whether the query statement belongs to a query range of a knowledge graph or not, and if the query statement belongs to the query range of the knowledge graph, performing the knowledge graph processing step; the knowledge graph processing step is implemented by processing the query statement by utilizing a preset knowledge graph to obtain a knowledge graph processing result; and the result output step is implemented by outputting the knowledge graph processing result as an answer of the query statement to a question and answer system. According to the method, the answer acquisition time of a user can be greatly shortened and the accuracy of an obtained query problem answer can be enhanced, so that the user experience of a smart robot is improved.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, in particular to a method and device for processing question-and-answer data for intelligent robots. Background technique [0002] For question-and-answer interactive systems, users often ask some particularly complicated queries, for example, users input questions such as "how tall is Yao Ming" or "what does Yao Ming's wife do" to the question-and-answer interactive system. For this type of question, traditional Q&A interactive systems usually only simply process and convert the question input by the user and retrieve the corresponding data from the pre-defined knowledge base according to the obtained keywords. This processing method is very similar to the existing search engine. [0003] However, there are many defects in the traditional question-answering interactive system. On the one hand, traditional question-and-answer interactive systems usually do not do sema...

AI Technical Summary

Problems solved by technology

On the one hand, traditional question-and-answer interactive systems usually do not do semantic understanding, which leads to a poor correlation between the retrieved answers and the question itself, and the returned results may not be what the user needs at all; On the other hand, the answers retrieved by the traditional Q&A interactive system are usually relatively long, which requires users to extract the information they need from the answers given by the Q&A interactive system, which also consumes a lot of time.

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