Intention recognition method and device
By obtaining the offset vector of a statement similar to the user's input statement and correcting the vector of the user's input statement, the problem of low accuracy in intent recognition is solved, and high-accuracy intent recognition is achieved in noisy scenarios.
CN115270760BActive Publication Date: 2026-07-10HUAWEI TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAWEI TECH CO LTD
- Filing Date
- 2021-04-29
- Publication Date
- 2026-07-10
AI Technical Summary
Technical Problem
The accuracy of intent recognition in existing technologies is affected by the diversity of user language expression, leading to incorrect intent classification, especially in noisy scenarios.
Method used
By obtaining the offset vector of statements similar to the user's input statement, the vector of the user's input statement is corrected. The offset vector is calculated using similarity and weight coefficients, and then combined with the intent classification module to perform intent recognition.
Benefits of technology
It improves the accuracy of intent recognition, especially in noisy scenarios, reduces the number of incorrectly recognized statements, and enhances the accuracy of intent recognition.
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Smart Images
Figure CN115270760B_ABST
Abstract
The application relates to the technical field of artificial intelligence, and relates to the technical field of natural language processing, in particular to an intent recognition method, which comprises the following steps: obtaining a first vector according to an input first sentence; obtaining an offset vector corresponding to a second sentence similar to the first sentence according to a similarity; the offset vector represents the difference between the first vector of the second sentence and a center point vector of a category to which the second sentence belongs; calculating the offset vector of the first sentence according to the offset vector of the second sentence; and performing intent recognition according to the first vector of the first sentence and the offset vector of the first sentence. When the intent recognition is performed according to the first vector of the first sentence, the offset vector of the first sentence calculated according to the offset vector of the similar second sentence can be further combined for intent recognition, which is equivalent to correcting the first vector of the first sentence input by a user by using the offset vector of the second sentence, so that the accuracy of intent recognition is improved.
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