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Text recognition method and device, equipment and storage medium

A text recognition and Chinese text technology, applied in the field of artificial intelligence, can solve problems such as limited feature information, difficulty in identifying category entities, and low accuracy of named entity recognition, achieving the effect of improving accuracy and accuracy

Pending Publication Date: 2022-04-05
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in related technologies, the extracted feature information is limited, and the recognition standards are inconsistent with actual applications, making it difficult to identify specific types of entities required in actual business, resulting in a low accuracy rate of named entity recognition

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  • Text recognition method and device, equipment and storage medium
  • Text recognition method and device, equipment and storage medium
  • Text recognition method and device, equipment and storage medium

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Embodiment Construction

[0030] The text recognition method provided in the embodiment of the present application involves artificial intelligence technology and blockchain technology, which will be briefly described below for the understanding of those skilled in the art.

[0031] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and dec...

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Abstract

The invention discloses a text recognition method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining a target text; determining character feature information and word feature information corresponding to the text characters in the target text; performing feature fusion processing on the character feature information and the word feature information to obtain word and word joint feature information corresponding to the text characters; and based on the word joint feature information, performing entity recognition processing on the target text to obtain a text recognition result corresponding to the target text. In the technical scheme provided by the embodiment of the invention, the character features and the word features corresponding to the text characters are fused to obtain the character and word joint features corresponding to the text characters, and then the character and word joint features are subjected to entity recognition, so that the named entity recognition accuracy is effectively improved, and an accurate text recognition result is obtained. The embodiment of the invention can be applied to various scenes such as cloud technology, artificial intelligence, smart traffic, Internet of Vehicles and the like.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a text recognition method, device, equipment and storage medium. Background technique [0002] Natural Language Processing (NLP) is an important direction in the field of computer science and artificial intelligence. Named entity recognition task is a branch of natural language processing direction, which is used to identify specific words in text. [0003] There are roughly two types of schemes for performing named entity recognition tasks in related technologies. One is to recognize text based on a large-scale dictionary or various preset templates, and recognize words belonging to the preset dictionary or in special positions in the text. words; the other is to extract the single-character features in the text and perform recognition and prediction in turn to identify specific words in the text. [0004] However, in related technologies, the extract...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F40/295G06F40/30G06F40/242G06N3/04G06N3/08G06N20/00
Inventor 房育勋朱斌肖任
Owner TENCENT TECH (SHENZHEN) CO LTD