Semantic understanding method, device and apparatus and readable storage medium

A semantic understanding and node technology, applied in speech analysis, speech recognition, electrical digital data processing, etc., can solve problems such as limited statement templates, inability to recognize semantics, termination, etc., to achieve the effect of improving intelligence

Active Publication Date: 2019-10-25
IFLYTEK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main way of semantic understanding is based on the pre-configured statement templates. However, the statement templates need to be manually configured, and the configure...

Method used

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  • Semantic understanding method, device and apparatus and readable storage medium
  • Semantic understanding method, device and apparatus and readable storage medium
  • Semantic understanding method, device and apparatus and readable storage medium

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Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to 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.

[0062] In order to illustrate the difference between the present application and the prior art in performing semantic understanding based on pre-configured statement templates, the prior art is briefly introduced first.

[0063] In the existing technology, if you want to realize a certain skill (such as querying the weather, booking a hotel, watching the news, listening to music, etc.), you need to create a series of intentions for the skill in advance, and the...

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PUM

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Abstract

The embodiment of the invention discloses a semantic comprehension method, device and apparatus and a readable storage medium. The method comprises the following steps: pre-defining a plurality of interaction nodes and skip flows among the interaction nodes, skipping the interaction nodes according to the skip flows in the interaction process, obtaining a text to be analyzed when skipping to one interaction node each time, and carrying out semantic understanding on the text to be analyzed by utilizing a semantic understanding model corresponding to the skipped interaction node. Each interaction node corresponds to an independent semantic comprehension model, and the semantic comprehension model does not need to be configured with a statement template and can be updated through machine learning, so that the intelligence of human-computer interaction is improved.

Description

technical field [0001] The present application relates to the technical field of natural language processing, and more specifically, to a semantic understanding method, device, device and readable storage medium. Background technique [0002] With the rapid development of artificial intelligence technology, the application of human-computer interaction systems with intelligent voice interaction as the core is becoming more and more extensive, such as smart home, intelligent customer service, chat robots, early education robots, etc. To achieve human-computer interaction, the machine needs to understand the semantics of the corpus input by the user. At present, the main way of semantic understanding is based on the pre-configured statement templates. However, the statement templates need to be manually configured, and the configured statement templates are limited, and it is easy to fail to recognize the semantics, which makes the human-computer interaction interrupted. The ...

Claims

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Application Information

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IPC IPC(8): G06F17/27G10L15/26G06K9/62G06N20/00
CPCG10L15/26G06N20/00G06F40/30G06F18/214
Inventor 李新鹏陈志刚彭加琪蒋军李凛威
Owner IFLYTEK CO LTD
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