Auxiliary control method and system based on post verification

A technology for auxiliary control and verification results, applied in the field of semantic recognition, can solve problems such as semantic loss, large workload and system resources, and incapable of intelligent processing, so as to achieve the effect of eliminating ambiguity

Active Publication Date: 2017-05-10
珠海希音医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. It is difficult to balance between recognition synchronization and resource occupation: as things are updated and developed, the keyword list will become very large
Maintaining corresponding keyword lists of different grammars will lead to huge workload and system resources, thereby reducing recognition performance; if the maintenance of keyword lists is not synchronized, new keywords will not be recognized; if fuzzy retrieval is added, it will further Leading to resource occupation and user experience degradation
[0005] 2. The standardization of grammatical expression: users must strictly follow the system's preset method for grammatical expression, and it is difficult to clearly identify the correct semantics of colloquial input, inversion, postposition or emphasis sentence patterns
Makes the level of knowledge expression to the user higher in the actual recognition process, which limits the popularization of speech technology
[0006] 3. There is no follow-up intelligent processing when there is ambiguity or no matching result: When the same grammar is used in multiple different fields, it is easy to conflict due to ambiguity in the understanding of keywords
[0007] To sum up, although the existing recognition technology can identify the general intention of the user through grammar to a certain extent, it is difficult to accurately identify the precise parameters based on the intention. The result of the recognition is to directly judge the content containing the meaning of the parameter as ordinary characters, so that the semantics of user input are lost

Method used

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  • Auxiliary control method and system based on post verification

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0064] Such as figure 2 Shown is the implementation of the auxiliary control method with post-verification of the present invention, which specifically includes the following steps:

[0065] 1) In the process of matching the grammar template of the original input in this embodiment, the domain information of at least one registered grammar template is recorded; for example, when the original input is: I want to hear you tell a story. then:

[0066] A. With "I want to listen| "As a grammar template for matching, you can register to obtain the result of using the audio player as the domain information; or

[0067] B. "Listen to you| |Story" is used as a grammatical template for matching, which can be directly registered to obtain the result of playing the story set by the audio player as the domain information.

[0068] 2) Then the operation parameter part obtained after registration is matched in the entity knowledge base corresponding to the above domain information, and the operat...

Embodiment 2

[0076] In some more complex situations, the semantics of the original input includes multiple types and a large number. This embodiment is based on image 3 A method for generating auxiliary control instructions is given, and on the basis of Example 1, the specific semantics of each part of the original input is further judged.

[0077] For example, the original input is: tomorrow morning from 10 to 12 o'clock to eat with Xiao Wang in Xujiahui, remind me 15 minutes in advance.

[0078] 1) Through the grammar template " |Reminder| "The field information obtained by matching is an alarm clock or a reminder program, and the corresponding field information is obtained according to the regular expression. The parameter of the corresponding field information is "15 minutes in advance", and the sub-parameter body is "Tomorrow morning from 10 to 12 o'clock and Xiao Wang will have dinner in Xujiahui "

[0079] 2) For the sub-parameter body "Tomorrow from 10 am to 12 am and Xiao Wang will e...

Embodiment 3

[0083] In some specific cases, the original input will further include adverbs in terms of degree, such as "very", "certain", "possible", etc. It does not have a specific behavior or entity description, but has priority or priority for the object it modifies. Classification adjustments.

[0084] Due to the limited number of semantics of the degree description, this embodiment sets the corresponding degree knowledge base for the entity knowledge base and the behavior knowledge base. When the entity knowledge base or the behavior knowledge base cannot match the result, the degree knowledge base is used for matching. , And further assign a fixed value to each matching result in the degree knowledge base, as the weighted result of the matching result of the behavior knowledge base or the entity knowledge base for the post-verification calculation.

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Abstract

The invention provides an auxiliary control method and system based on post verification. The method comprises the steps that through the pre-processing of original command signals, obtaining auxiliary control information, conducting grammatical template matching of the auxiliary control information based on fields to obtain command operator parts and operation parameter parts, using the post verification method corresponding to the fields to analyze the operation parameter parts, treating the result which is obtained from the analysis and with the highest matching level as the operation parameters of the command operator parts, generating auxiliary control commands and sending the control commands to a central processing unit for operation, thus achieving the auxiliary control. The invention hugely enhances the precision of semantic identification based on current grammatical retrieval. By simulating the manner of human understanding of language, all the semantic meanings which can be extracted from the colloquial expression content inputted by the user are identified, and the identification rate and the user's experience are enhanced.

Description

Technical field [0001] The present invention relates to a technology in the field of semantic recognition, in particular to an auxiliary control method and system based on post-verification. Background technique [0002] Semantic recognition enables artificial intelligence to better understand humans, and finally adjust the hardware working state is the main problem facing the field of industrial automation control. The existing semantic recognition is mainly based on natural language understanding, and usually uses a regular expression retrieval method of grammar + keyword list. For example: The syntax is: I want to eat <slot1> ; And the keyword, namely <slot1> For specific food names, restaurant names, etc. The general recognition method matches all the characters after the keyword "eat" with the keyword list one by one when it conforms to the grammar, and the follow-up operation is performed only when there is a matching result. [0003] Although the existing voice...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 不公告发明人
Owner 珠海希音医疗科技有限公司
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