Robot knowledge base construction system and method based on synonymous multi-context analysis

Abstract

The invention provides a robot knowledge base construction system and method based on synonymous multi-context analysis, which realize the scheme from seven aspects of traditional knowledge base arrangement, question bank word segmentation, response bank word segmentation, synonymous expansion, context analysis, knowledge base indexing and new knowledge base construction. The method comprises: firstly, arranging an original knowledge base; performing word segmentation processing on the questioning sentences and the answering sentences in the knowledge base, and extracting keywords; performingsimilarity calculation and synonymy expansion on the keywords; determining adaptation scores of the keywords in the statement at the same time through context analysis, and constructing a multi-way tree index keyword at the same time; and finally, constructing a new knowledge base, and flexibly and randomly replacing synonyms in the response words by realizing similarity calculation of the synonyms, thereby realizing construction of the knowledge base with unchanged response theme content and diversified response modes.

Description

technical field [0001] The present invention relates to the field of electronic information technology, in particular to a system and method for constructing a robot knowledge base based on synonymous multi-context analysis, which establishes a robot knowledge base system with automatic semantic association to support the diversification of terms used by answering robots, Anthropomorphic question and answer to realize fully automatic and accurate customer question response for electric power customer service. Background technique [0002] Responding to inquiries and questions from network users is an important part of the daily work of electric power customer service, and it is the main window for improving service quality and gathering user reputation. The traditional manual user response method can no longer meet the service needs of the majority of power users, mainly reflected in: [0003] 1) Due to the large business volume, many people are required to cooperate to com...

AI Technical Summary

Problems solved by technology

[0003] 1) Due to the large business volume, many people are required to cooperate to complete the consulting services for the vast number of power users, and it is impossible to achieve indiscriminate services with absolutely the same standards;

[0004] 2) The method of manual response service is affected by individual emotions and work status, and the content of the response cannot be accurate;

[0005] 3) Unable to provide 24-hour all-weather service with high quality and high quantity

This method of knowledge base matching, since the output result is the content of the knowledge base with the highest matching rate, it will produce a unique result for any same question. richness

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