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Artificial intelligence conflict semantic recognition method and device

A technology of semantic recognition and artificial intelligence, applied in semantic analysis, special data processing applications, instruments, etc., can solve problems such as artificial intelligence machine semantics cannot be accurately recognized

Pending Publication Date: 2020-07-28
JUHAOKAN TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] This application provides an artificial intelligence conflict semantic recognition method and device to solve the problem that existing artificial intelligence machines cannot accurately identify when semantic conflicts exist

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  • Artificial intelligence conflict semantic recognition method and device
  • Artificial intelligence conflict semantic recognition method and device
  • Artificial intelligence conflict semantic recognition method and device

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Embodiment Construction

[0058] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0059] The same semantic text may produce different intentions, but based on human life and common sense, it can be associated with the intention that humans prefer. For example, if you look at the movies of Stephen Chow from a human point of view, you will give priority to the movies played by Stephen Chow, while the movies directed by Stephen Chow have weak intentions. Three Lives Three Worlds Ten Miles of Peach Blossoms will give priority to TV dramas and les...

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Abstract

The invention discloses an artificial intelligence conflict semantic recognition method and device, and the method comprises the steps: recognizing a semantic text generated during man-machine interaction, and obtaining a plurality of candidate types corresponding to semantics where a semantic conflict happens; utilizing a pre-training language model to calculate the semantic text and each candidate category to obtain a conflict text semantic vector and each classification semantic vector, calculating the semantic similarity between the conflict text semantic vector and each classification semantic vector, and obtaining a category priority sequence; and labeling the plurality of candidate categories on semantics which have semantic conflicts in the semantic text according to a category priority sequence. Visibly, according to the method and the device, conflict semantics are concluded into intention types of public consensus by comparing semantic vector similarities, and universal annotations of the public consensus are generated, so that a word or sentence can be automatically classified by utilizing a pre-trained language model, a machine can accurately identify intentions of human beings, and an accurate interaction result is obtained.

Description

technical field [0001] The present application relates to the field of artificial intelligence in natural semantic processing, in particular to an artificial intelligence conflict semantic recognition method and device. Background technique [0002] Artificial intelligence (English: Artificial Intelligence, abbreviated as AI) refers to the intelligence shown by machines manufactured by humans. Generally, artificial intelligence refers to the technology of presenting human intelligence through ordinary computer programs. Artificial intelligence includes interactive artificial intelligence (Conversational AI, CoAI), that is, the intelligent behavior embodied by human and machine through dialogue and interaction (human-computer interaction). Usually, intelligent systems using artificial intelligence technology interact with users or the environment, and Realize learning and modeling in interaction. Human-computer interaction is the most challenging and comprehensive technology...

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Application Information

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IPC IPC(8): G06F16/332G06F40/30
CPCG06F16/3329
Inventor 蔡効谦
Owner JUHAOKAN TECH CO LTD
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