Response sentence generation method and device, electronic equipment and computer readable medium

By determining the user intent and response intent categories, combining historical dialogue information to select response materials, and constructing prompt word templates to generate response statements, the problem of insufficient robustness of task-oriented dialogue systems in non-task scenarios is solved, and smoother and more reliable responses are achieved.

CN122309660APending Publication Date: 2026-06-30BEIJING XIZHI INFORMATION TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING XIZHI INFORMATION TECHNOLOGY CO LTD
Filing Date
2026-03-17
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing task-oriented dialogue systems lack robustness when handling non-task scenarios such as casual conversation and emotional interaction, and errors are prone to accumulate during information transmission, making end-to-end correction difficult.

Method used

By determining the user intent category of the user input statement, combining it with historical dialogue information to determine the response intent category, selecting matching response materials from a preset response material library, constructing prompt word templates, and generating response statements, the process of planning the response direction is enhanced.

Benefits of technology

It improves the fluency and reliability of responses, avoids directly triggering fixed replies, and enhances the accuracy and naturalness of responses.

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Abstract

This disclosure presents embodiments of a response statement generation method, apparatus, electronic device, computer-readable medium, and program product. One specific implementation of the method includes: determining the user intent category to which the user input statement belongs; determining the response intent category based on the user intent category and historical dialogue information corresponding to the user input statement; selecting response materials matching the user intent category and the response intent category from a preset response material library; determining a prompt word template based on the response intent category and the selected response materials; and generating a response statement for the user input statement using the prompt word template. This implementation is related to artificial intelligence and helps improve the intelligence of dialogue with users.
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