Information acquisition methods, devices, equipment and storage media
By classifying natural language questions by intent and combining various retrieval methods such as knowledge graphs and question-answer databases, the problem of insufficient professionalism in question-answer database answers is solved, thereby improving the accuracy of information retrieval and the recall of knowledge.
CN114281951BActive Publication Date: 2026-05-26TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TENCENT TECHNOLOGY (SHENZHEN) CO LTD
- Filing Date
- 2021-08-13
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
In existing technologies, the answers in question-and-answer databases lack sufficient professionalism, resulting in inaccurate information retrieval.
Method used
By classifying the intent of natural language questions, determining the target retrieval method, and utilizing various knowledge bases such as knowledge graphs and question-answering databases for answer retrieval, the professionalism and richness of the answers are ensured.
Benefits of technology
It improves the accuracy and flexibility of information acquisition, ensuring the richness and recall of knowledge.
✦ Generated by Eureka AI based on patent content.
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Figure CN114281951B_ABST
Abstract
This application discloses an information acquisition method, apparatus, device, and storage medium, belonging to the field of artificial intelligence technology. The method includes: acquiring the intent classification result of a natural language question, whereby the intent classification result indicates the intent type corresponding to the natural language question; determining a target retrieval method from multiple retrieval methods based on the intent classification result; wherein the multiple retrieval methods are used to acquire knowledge at different levels of expertise; and retrieving the answer to the natural language question from the knowledge base corresponding to the target retrieval method using the target retrieval method. This application ensures the professionalism of the answers by retrieving answers at different levels of expertise for natural language questions with different intent types, thereby improving the accuracy and flexibility of information acquisition. Furthermore, since this application is not limited to obtaining answers from a single knowledge base, it ensures the recall of information. This application can be applied to intelligent question answering in the medical field (such as medication and medical consultation).
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