Artificial intelligence-based spoken language query identification method and apparatus

A technology of artificial intelligence and spoken language, applied in the field of artificial intelligence, can solve the problems of low automation and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2017-02-15
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, template matching requires manual participation and summary, and the degree of automation is not high

Method used

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  • Artificial intelligence-based spoken language query identification method and apparatus
  • Artificial intelligence-based spoken language query identification method and apparatus
  • Artificial intelligence-based spoken language query identification method and apparatus

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Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0029] The artificial intelligence-based spoken language query recognition method and device according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0030] figure 1 It is a flowchart of an artificial intelligence-based spoken language query recognition method according to an embodiment of the present invention.

[0031] like figure 1 As shown, the artificial intelligence-based spoken language query recognition method of the embodiment of the present invention ...

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Abstract

The invention discloses an artificial intelligence-based spoken language query identification method and apparatus. The method comprises the steps of training a convolutional neural network according to a query field annotated by a spoken language retrieval corpus to generate a retrieval field identification model; and training a recurrent neural network according to a query intention corresponding to the query field and annotated by the spoken language retrieval corpus, and parameter information to generate a retrieval intention identification model corresponding to the query field. According to the method and the apparatus provided by embodiments of the invention, the high-applicability and high-automation retrieval field identification model and retrieval intention identification model are generated through training, and the spoken language query intention of a user and the parameter information corresponding to the spoken language query intention can be accurately obtained, so that the efficiency and accuracy of spoken language query identification are improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based spoken language query recognition method and device. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing and expert systems, etc. [0003] With the development of artificial intelligence, the natural interaction between computer and human has become the core issue of artificial intelligence....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N5/02G06N3/02
CPCG06F16/9535G06N3/02G06N5/022
Inventor 孙宇王硕寰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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