Method and device for judging semantic equivalence

A semantic equivalence and equivalence technology, applied in the field of valence judgment methods and devices, can solve the problem of low accuracy in judging semantic equivalence, and achieve the effect of high accuracy

Active Publication Date: 2022-02-22
北京百分点科技集团股份有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides a method and device for judging semantic equivalence, which can be used to solve the problem of low accuracy in judging semantic equivalence in the prior art

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  • Method and device for judging semantic equivalence
  • Method and device for judging semantic equivalence

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Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0030] The technical solutions provided by various embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0031] As mentioned above, the question-answering robot's understanding of sentence semantics, especially the understanding of whether the semantics between multiple sentences are ...

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Abstract

The application discloses a semantic equivalence judging method and device. The method includes: generating a plurality of vectors corresponding to the first sentence and a plurality of vectors corresponding to the second sentence according to the first sentence and the second sentence; Multiple vectors are matched, and a similarity representation is generated according to the matching results; the similarity representation is spliced ​​and screened through the similarity representation layer of the model; the screening results are input into the self-attention layer of the model, and the self-attention is calculated through the self-attention layer value, the self-attention value reflects the internal structure of the first sentence and the second sentence; judge whether the semantics between the first sentence and the second sentence are equivalent according to the self-attention value. Compared with the prior art, the method can be used to solve the problems in the prior art because the judgment result of the semantic equivalence between multiple sentences is higher than that of the prior art.

Description

technical field [0001] The present application relates to the technical field of machine learning, in particular to a method and device for judging semantic equivalence. Background technique [0002] With the continuous advancement of artificial intelligence-related technologies, question-answering robots have also received more and more attention. In order to better improve the question-answering effect of the question-answering robot, it needs to have a deep understanding of the semantics of the sentence, and one of the keys is to judge whether the semantics of multiple sentences are equivalent. However, in the prior art, the accuracy of judging whether the semantic equivalence between multiple sentences is low is low, so a more accurate semantic equivalence judging method is needed. Contents of the invention [0003] Embodiments of the present application provide a method and device for judging semantic equivalence, which can be used to solve the problem of low accurac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/33G06F16/332G06F16/35G06F40/211G06F40/30
CPCG06F16/3329G06F16/3344G06F16/35
Inventor 苏萌刘钰苏海波王然孙伟于帮付
Owner 北京百分点科技集团股份有限公司
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