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Intelligent question answering method and device based on enterprise entity

An intelligent question answering and enterprise technology, applied in the field of knowledge question answering, can solve problems such as lack of knowledge and low accuracy of knowledge question answering, and achieve the effect of improving accuracy

Inactive Publication Date: 2021-06-08
北京海致星图科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing question answering systems are basically knowledge question answering systems in the field of general knowledge, and question answering methods only solve knowledge question answering problems by matching questions and candidate answers. Due to the lack of knowledge in the relevant fields of enterprise entities, the current question answering The accuracy of the system for knowledge question answering in the enterprise domain is low

Method used

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  • Intelligent question answering method and device based on enterprise entity
  • Intelligent question answering method and device based on enterprise entity
  • Intelligent question answering method and device based on enterprise entity

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0083] see figure 1 , figure 1 The first flow chart of an intelligent question answering method based on an enterprise entity provided by an embodiment of the present invention, the method is applied to a server, such as figure 1 As shown, the method includes the following steps:

[0084] S110, identifying the target business entity in the question input by the user;

[0085] This process is to obtain the target enterprise entity in the question input by the user, and use it to link with the enterprise entity in the enterprise knowledge base. The corporate entity in the question may be the full name, abbreviation and brand name of the company. For example, "Bank of China Co., Ltd.", "Baidu" and "Eleme" are the full name, abbreviation and brand name of the company respectively, collectively referred to here as business entity.

[0086] Optionally, in this embodiment, based on the BiLSTM-CRF model, the target enterprise entity in the question input by the user is identified....

Embodiment 2

[0117] see figure 2 , figure 2 It is the second flow chart of an enterprise entity-based intelligent question answering method provided by an embodiment of the present invention. The method is applied to a server. On the basis of the method described in Embodiment 1, in this embodiment, an enterprise entity-based The corresponding relationship with the enterprise knowledge base is to obtain the final enterprise entity corresponding to the target enterprise entity, which specifically includes:

[0118] S2201. Perform entity disambiguation processing on the target enterprise entity, and obtain a first candidate enterprise entity set corresponding to the target enterprise entity based on the correspondence between the enterprise entity and the enterprise knowledge base;

[0119] For example, assuming that the target business entity is Baidu, its corresponding first candidate business entity set may be {Baidu Cloud, Baidu Online Network Technology, Baidu Translation, Baidu Musi...

Embodiment 3

[0130] see image 3 , image 3 It is the third flow chart of an enterprise entity-based intelligent question answering method provided by the embodiment of the present invention. This method is applied to a server. Before disparity processing, described in this embodiment also includes:

[0131] S30A, using the complete matching method, judging whether there is an enterprise entity that completely matches the target enterprise entity in the enterprise knowledge base, if yes, execute S30C, and then use the matched enterprise entity as the target enterprise entity corresponding The final business entity, if not, execute S30B;

[0132] Specifically, firstly, the target enterprise entity is linked with the entity in the enterprise knowledge base, and the exact matching method is specifically adopted. Since the full name of an enterprise company is unique, if the enterprise entity in the corresponding enterprise knowledge base can be retrieved, the target enterprise entity can b...

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Abstract

The embodiment of the invention provides an intelligent question answering method and device based on enterprise entities, which are applied to a server. The method comprises the steps: recognizing a target enterprise entity in a question input by a user; obtaining a final enterprise entity corresponding to the target enterprise entity based on a corresponding relationship between the enterprise entity and an enterprise knowledge base; determining an attribute set of the final enterprise entity, and taking the attribute set as a candidate answer set of the target enterprise entity; and based on an MV-LSTM model, determining a matching value between the question input by the user and each attribute in the attribute set, and taking the attribute corresponding to the maximum matching value as a final answer to the question input by the user. By applying the scheme provided by the embodiment of the invention, the accuracy of enterprise knowledge questions and answers can be improved.

Description

technical field [0001] The invention relates to the technical field of knowledge question answering, in particular to an enterprise entity-based intelligent question answering method and device. Background technique [0002] The question answering system forms a knowledge base with a certain fixed structure through deep processing of data, and analyzes the needs of users through the most advanced natural language processing technology, so as to quickly and accurately provide users with the information they need. [0003] Existing question answering systems are basically knowledge question answering systems in the field of general knowledge, and question answering methods only solve knowledge question answering problems by matching questions and candidate answers. Due to the lack of knowledge in the relevant fields of enterprise entities, the current question answering The accuracy of the system for knowledge question answering in the enterprise domain is low. Contents of t...

Claims

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Application Information

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IPC IPC(8): G06F16/9032G06K9/62G06N3/04G06N3/08
CPCG06F16/90332G06N3/084G06N3/045G06N3/044G06F18/22
Inventor 姚祥禄
Owner 北京海致星图科技有限公司
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