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Synonym recognition model training method, synonym determination method and equipment

A technology of recognition model and training method, applied in the training field of synonym recognition model, can solve the problems of small editing distance and low accuracy of synonym recognition, and achieve the effect of improving the accuracy

Active Publication Date: 2020-10-02
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] In the above related technologies, due to the presence of non-synonymous word pairs with small edit distances, the recognition accuracy of synonyms is low

Method used

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  • Synonym recognition model training method, synonym determination method and equipment
  • Synonym recognition model training method, synonym determination method and equipment
  • Synonym recognition model training method, synonym determination method and equipment

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Embodiment Construction

[0046] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of approaches consistent with aspects of the application as recited in the appended claims.

[0047] 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 u...

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Abstract

The embodiment of the invention provides a synonym recognition model training method, a synonym determination method and synonym determination equipment, and relates to the technical field of machinelearning and computers. The method comprises the steps of obtaining a plurality of words; obtaining multi-source feature information of the words, wherein the multi-source feature information comprises semantic feature information and character feature information; determining a plurality of training samples based on the plurality of words; determining a synonym prediction result and a correlationprediction result of the training sample based on the multi-source feature information of the two words in the training sample through a synonym recognition model, the correlation prediction result being a prediction result of correlation between the two words in the training sample; calculating a loss function value of the synonym recognition model based on the synonym prediction result and thecorrelation prediction result of the training sample; and training the synonym recognition model according to the loss function value. According to the technical scheme provided by the embodiment of the invention, the synonym identification accuracy can be improved.

Description

technical field [0001] The embodiments of the present application relate to the field of machine learning and computer technology, and in particular to a training method for a synonym recognition model, a method and a device for determining a synonym. Background technique [0002] With the development of computer technology, machine learning technology in the direction of artificial intelligence is increasingly used in natural language analysis scenarios, such as identifying synonyms. [0003] In related technologies, the edit distance refers to the number of times a character string needs to be processed into another character string, and the edit distance can represent the degree of difference between two character strings. Whether the words are synonyms, when the edit distance between the two words is less than or equal to the preset value, determine that the two words are synonyms; when the edit distance between the two words is greater than the preset value, determine t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/289G06N3/08G06N3/04
CPCG06F40/289G06N3/08G06N3/045
Inventor 高文龙张子恒陈曦文瑞管冲向玥佳刘博孙继超
Owner TENCENT TECH (SHENZHEN) CO LTD
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