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Question answering method and device, electronic device and storage medium

A problem and natural language problem technology, applied in the fields of electrical digital data processing, instrumentation, calculation, etc., can solve the problems of poor controllability and accuracy of vector modeling, achieve easy query and retrieval, save manpower and time costs, and avoid writing Huge number of effects

Active Publication Date: 2020-01-21
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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AI Technical Summary

Problems solved by technology

Among them, vector modeling is poor in controllability and accuracy

Method used

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  • Question answering method and device, electronic device and storage medium
  • Question answering method and device, electronic device and storage medium
  • Question answering method and device, electronic device and storage medium

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Embodiment Construction

[0071] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0072] The embodiment of this application proposes a question answering method, figure 1 It is a schematic diagram of the implementation process of a question answering method according to the embodiment of the present application Figure 1 ,include:

[0073] Step S101: Determine a natural language question template that matches the natural language question, and t...

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Abstract

The invention discloses a question answering method and device, an electronic device and a storage medium, and relates to the field of knowledge base question answering. The specific implementation scheme is as follows: determining a natural language question template matched with a natural language question, wherein the natural language question template can be matched with at least one type of natural language question; searching a first language question template corresponding to the natural language question template according to a corresponding relationship between the natural language question template and the first language question template; and generating a first language question corresponding to the natural language question by adopting the first language question template. Thenatural language question template adopted by the embodiment of the invention can be matched with at least one type of natural question template, the business retrieval requirement can be used withoutcompiling a large number of templates, and the labor and time cost is saved.

Description

technical field [0001] The present application relates to a field of computer technology, in particular to a field of knowledge base question answering (KB-QA, Knowledge Base Question Answering). Background technique [0002] The knowledge base stores a large number of entities and relationships in the form of triples. When a user asks a natural language question, it needs to convert the natural language question into a language that the knowledge base can understand. Most of the existing question answering systems are implemented based on semantic analysis and vector modeling. Among them, vector modeling is poor in controllability and accuracy. When faced with more complex business data, the method based on semantic analysis usually adopts regular templates based on strings to realize the conversion of problems. Generally, a regular template can only correspond to one question method of a natural language question, resulting in the need to write a large number of rule tem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F40/289G06F40/295
CPCG06F16/3329
Inventor 周丽芳尹存祥骆金昌方军钟辉强吴晓晖
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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