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Domain knowledge base construction method and device, equipment and storage medium

A technology of domain knowledge and construction method, applied in the field of domain knowledge base construction method, equipment and storage media, and devices, which can solve the problems of lack of labeled corpus

Pending Publication Date: 2021-07-23
IFLYTEK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present application provides a domain knowledge base construction method, device, device and storage medium to automatically construct a domain knowledge base with labeled corpus containing enough specified domains, so as to solve the problems in the proof of concept of the project or In the cold start phase of the project, there is not enough labeled corpus in the specified field. The technical solution is as follows:

Method used

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  • Domain knowledge base construction method and device, equipment and storage medium
  • Domain knowledge base construction method and device, equipment and storage medium
  • Domain knowledge base construction method and device, equipment and storage medium

Examples

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no. 1 example

[0077] see figure 1 , which shows a schematic flowchart of a method for constructing a domain knowledge base provided by an embodiment of the present application, and the method may include:

[0078] Step S101: Obtain the seed knowledge base corresponding to the specified field.

[0079] It should be noted that the "field" mentioned in this application refers to industries, including but not limited to banking, insurance, government affairs, operators, electric power, etc.

[0080] In this embodiment, the seed knowledge base corresponding to the specified field contains the seed sentence pattern marked under the knowledge point of the specified field. It should be noted that a clause type x marked under the knowledge point y refers to the seed sentence The label information of formula x is knowledge point y.

[0081] Wherein, the knowledge points in the specified field are obtained by sorting out the services in the specified field, and optionally, the knowledge points in th...

no. 2 example

[0092] In this embodiment, in step S102 in the above embodiment, "based on the seed sentence patterns in the seed knowledge base, excavate the field sentence patterns that can be marked under the knowledge points of the specified field from the field sentence pattern database corresponding to the specified field" Implementation process is introduced.

[0093] see image 3 , shows a schematic flow diagram of mining the domain sentence patterns that can be marked under the knowledge points of the specified field from the field sentence pattern database corresponding to the specified field based on the seed sentence patterns in the seed knowledge base, which may include:

[0094] Step S301: Use the sentence patterns in each field in the field sentence pattern library as the target field sentence patterns, and execute:

[0095] Step S3011: According to the sentence patterns in the target domain and the seed sentence patterns in the seed knowledge base, determine the knowledge poi...

no. 3 example

[0145] In order to obtain a domain knowledge base with better quality and a semantic understanding model with better performance, this embodiment provides another method for constructing a domain knowledge base. Please refer to Figure 4 , which shows a schematic flowchart of the method for building the domain knowledge base, which may include:

[0146] Step S401: Obtain the seed knowledge base corresponding to the specified field.

[0147] Wherein, the seed knowledge base contains the seed sentence patterns marked under the knowledge points in the specified field.

[0148] Step S402: Based on the seed sentence patterns in the seed knowledge base, excavate domain sentence patterns that can be marked under the knowledge points of the specified field from the domain sentence pattern database corresponding to the specified field, and mark the excavated domain sentence patterns, To obtain the excavated sentence patterns marked under the knowledge points in the specified field.

...

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Abstract

The invention provides a domain knowledge base construction method and device, equipment and a storage medium. The method comprises the following steps: obtaining a seed knowledge base corresponding to a specified domain, the seed knowledge base including seed sentence patterns marked under knowledge points of the specified domain; based on seed sentence patterns in the seed knowledge base, mining field sentence patterns which can be marked under the knowledge points of the specified field from a field sentence pattern library corresponding to the specified field, and marking the mined field sentence patterns to obtain mined sentence patterns marked under the knowledge points of the specified field; and forming a domain knowledge base corresponding to the specified domain by the seed sentence pattern and the excavated sentence pattern which are marked under the knowledge points of the specified domain. According to the domain knowledge base construction method provided by the invention, the domain knowledge base containing the tagged corpora of enough specified fields can be constructed, and a semantic understanding model with a relatively good effect can be obtained through training based on the tagged corpora in the domain knowledge base.

Description

technical field [0001] The present application relates to the technical field of semantic understanding, in particular to a method, device, device and storage medium for constructing a domain knowledge base. Background technique [0002] Natural Language Understanding (NLU) is an important subject branch in the field of artificial intelligence and is widely regarded as the most difficult and most iconic task. At present, intelligent customer service and dialogue robots based on natural language understanding technology have been commercially implemented in operators, banks, insurance and other fields, providing services for more and more people. [0003] The key to natural language understanding technology is to build a better semantic understanding model. It is understandable that, for a specified field, in order to build a better semantic understanding model, it is often necessary to have enough labeled corpus in the specified field to build domain knowledge base, and the...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F40/295G06F40/211G06K9/62G06Q40/02
CPCG06F40/30G06F40/211G06F40/295G06Q40/02G06F18/22
Inventor 朱前威陈浩
Owner IFLYTEK CO LTD