A data processing method and server

Abstract

In the data processing method and server disclosed in the present application, after the question sentence is obtained, the question sentence category to which the question sentence belongs is determined based on the sentence components of the question sentence, and when the question sentence belongs to a predetermined question sentence category, the question sentence is processed Dependency syntax analysis to obtain the dependency information between the constituent elements of the question sentence, and then based on the dependency information between the constituent elements of the question sentence and the sentence components of the question sentence, perform structural analysis on the question sentence to obtain the structure of the question sentence information. By using the dependency information among the constituent elements of the question sentence and the sentence components of the question sentence, the structured analysis of the question sentence can achieve a better analysis effect, and then accurately identify the user's question intention based on the analysis results.

Description

technical field [0001] The invention belongs to the technical field of data processing based on big data, and in particular relates to a data processing method and a server. Background technique [0002] The intelligent question answering system is an industry-oriented automatic service system developed on the basis of large-scale knowledge processing. It establishes a fast and effective communication channel based on natural language processing for the communication between enterprises and massive users. [0003] The knowledge graph question answering system is an intelligent question answering system based on the knowledge graph. At present, the question analysis methods used in the knowledge graph question answering system are mainly divided into three categories: semantic analysis method, information extraction method and vector modeling method. However, the effect of these methods on complex Chinese questions is not ideal, and the parsing effect on the questions is poor...

AI Technical Summary

Problems solved by technology

However, the effect of these methods on dealing with complex Chinese questions is not ideal, and the parsing effect on the questions is poor, which will affect the system's accurate identification of the user's question intentions, thereby reducing the service quality of the question answering system.

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