Address recognition method and device, computer equipment and storage medium

An address recognition and address technology, which is applied in computing, biological neural network models, instruments, etc., can solve the problems that semantic recognition methods cannot be applied to semi-closed human-computer dialogue occasions, and the generalization ability of deep learning models is weak.
CN112633003APending Publication Date: 2021-04-09PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
PING AN TECH (SHENZHEN) CO LTD
Publication Date
2021-04-09

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Abstract

The embodiment of the invention belongs to the technical field of voice processing in artificial intelligence, and relates to an address recognition method and device based on named entity recognition, computer equipment and a storage medium. In addition, the invention also relates to a blockchain technology, and the question and answer audio data of the user can be stored in the blockchain. According to the named entity identification-based address identification method provided by the invention, the extension text vector is combined with the following word group feature information of the token and the feature information of the token, so that the extension text vector can solve the generalization ability of entity extraction of a model in a suffix of a specific range, and fitting of a large amount of data is not needed; therefore, the model training cost is reduced, and the model recognition capability is improved.
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Description

technical field

[0001] The present application relates to the technical field of speech processing in artificial intelligence, and in particular to an address recognition method, device, computer equipment and storage medium based on named entity recognition. Background technique

[0002] Human-computer dialogue is an important field in the field of artificial intelligence. Dialogue is a basic communication ability and skill for human beings, and the most important thing for human beings to achieve natural and smooth communication in dialogue is to understand the intention of the other party. For artificial intelligence, it requires the cooperation of various applications and systems to achieve human-like effects. However, the most critical and basic step to support this function is to correctly identify the intention of human speech, so that the machine can make correct response.

[0003] There is an existing semantic recognition method, that is, by constructing a trainin...

Claims

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