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Man-machine conversation method, device and equipment

A technology of man-machine dialogue and key information, applied in special data processing applications, instruments, voice analysis, etc., can solve problems such as reduced user experience, low dialogue efficiency, and inaccurate user semantic understanding, so as to improve dialogue experience and improve accuracy sexual effect

Pending Publication Date: 2020-09-11
BEIJING BAIDU NETCOM SCI & TECH CO LTD +1
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] However, the above method still has the problem of inaccurate understanding of user semantics, resulting in low dialogue efficiency and reduced user experience

Method used

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  • Man-machine conversation method, device and equipment
  • Man-machine conversation method, device and equipment
  • Man-machine conversation method, device and equipment

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Embodiment Construction

[0032] Exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0033] Human-machine dialogue equipment has been widely used. The human-machine dialogue device can also be called a conversational artificial intelligence system, which allows users to operate multiple functions such as audio-visual entertainment, information query, life services, and travel conditions in the interactive mode of natural language dialogue. Huma...

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Abstract

The invention discloses a man-machine conversation method, a device and equipment, and relates to the technical field of natural language processing. According to the specific implementation scheme, the method comprises the steps of obtaining a first statement input by a user, performing semantic analysis on the first statement to obtain a first key information set, obtaining a second key information set corresponding to at least one historical statement, determining multiple candidate semantics corresponding to the first statement according to the first key information set and the second keyinformation set, and generating a response statement corresponding to the first statement according to the multiple candidate semantics. In the process, the plurality of candidate semantics of the user are determined according to the first key information set and the second key information set, so that the semantic comprehension accuracy of the user is improved, more reasonable response statementscan be output to the user, and the dialogue experience of the user is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of natural language processing in data processing, and in particular, to a method, apparatus, and device for a human-machine dialogue. Background technique [0002] In the human-machine dialogue scenario, the user's intention may need to be clearly expressed after several rounds of dialogue. Therefore, in some scenarios, it is necessary to combine the sentences entered by the user in this round with the sentences entered in the previous round to understand the user's intention accurately. [0003] In the prior art, each time a sentence input by the user is acquired, the subject, predicate and object components of the current round of sentences are detected by using preset rules to determine whether the current round of sentences is in the form of omission. When it is determined that the current round of sentences is in the form of omission, the current round of sentences and the ...

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Application Information

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IPC IPC(8): G06F16/332G06F40/30G10L15/16G10L15/18G10L15/22G10L15/26
CPCG06F16/3329G06F40/30G10L15/1822G10L15/22G10L15/16G06F16/90332G06F16/2465G06F16/24578G06F2216/03
Inventor 何晓楠殷超鞠强谢剑
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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