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Artificial intelligence-based bad case discovery method and apparatus, and storage medium

A technology of artificial intelligence and discovery method, applied in the field of artificial intelligence, can solve the problems of low identification error discovery rate, impossible identification error to find out, low processing efficiency, etc., to improve processing efficiency, avoid identification errors, and save manpower cost effect

Active Publication Date: 2017-08-11
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0008] The above method has at least the following problems: due to the need for manual operation, it requires a lot of labor costs, and the processing efficiency is low. In addition, due to the random sampling method, it is impossible to find out all recognition errors, that is, identify The false discovery rate is very low, which affects the subsequent optimization update of the named entity recognition system

Method used

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  • Artificial intelligence-based bad case discovery method and apparatus, and storage medium
  • Artificial intelligence-based bad case discovery method and apparatus, and storage medium
  • Artificial intelligence-based bad case discovery method and apparatus, and storage medium

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Embodiment Construction

[0098] Aiming at the problems existing in the prior art, the present invention proposes a named entity recognition error discovery scheme based on active learning (Active Learning), that is, in combination with the existing named entity recognition system, through the method of Active Learning, it is found (find out) the identified mistake.

[0099] In order to make the technical solution of the present invention more clear and understandable, the solution of the present invention will be further described below with reference to the accompanying drawings and examples.

[0100] Apparently, the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0101] figure 1 It is a flow chart of an embodiment of the artificial intelligence-based recognition error di...

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Abstract

The invention discloses an artificial intelligence-based bad case discovery method and apparatus, and a storage medium. The method comprises the steps of performing named entity recognition on a to-be-recognized query to obtain the confidence degree of each word in the query; obtaining a probability value of forming terms by each word in the query and adjacent words; and determining whether a bad case exists or not according to the obtained confidence degrees and probability values. By applying the scheme, the labor cost can be reduced, the processing efficiency can be improved, the bad case discovery rate can be increased, and the like.

Description

[0001] 【Technical field】 [0002] The invention relates to artificial intelligence technology, in particular to an artificial intelligence-based recognition error discovery method, device and storage medium. [0003] 【Background technique】 [0004] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0005] Named Entity Recognition (NER, Named Entity Recognition) is a sequence labeling task in Natural Language Processing (NLP, Natural L...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30G06N20/00
CPCG06F16/3322G06F16/367G06F16/3346G06F40/284G06N20/00G06F15/76G06F40/295G06V30/1985G06F40/205G06F18/2185G06F18/2193
Inventor 孙孝雄
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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