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Intention recognition method and device

A recognition method and intent technology, applied in the field of information processing, can solve the problems of irregular samples, less input data, inaccurate recognition results, etc., to achieve the effect of improving accuracy and reliability

Pending Publication Date: 2021-11-30
STATE GRID E COMMERCE CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] The learning process needs to learn samples, but in the existing learning process, the final recognition result is not accurate due to the lack of input data, irregular samples, and many intentions.

Method used

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  • Intention recognition method and device

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Embodiment Construction

[0059] 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.

[0060] The terms "first" and "second" in the specification and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having", and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or apparatus comprising a series of steps or units is not defined by listed steps or u...

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Abstract

The invention discloses an intention recognition method and device. The intention recognition method comprises: obtaining a to-be-recognized text; preprocessing the to-be-recognized text to obtain a preprocessing result; performing feature extraction on the preprocessing result to obtain text features; and inputting the text features into a target intention recognition model, and obtaining an intention recognition result, wherein the target intention recognition model is a neural network model obtained through training based on a training sample, and the training sample is text information marked with an intention label. Through a method of generating a text intention classifier, a personalized dialogue style matched with a user is determined, and intention information expressed by a user message is accurately predicted based on a machine learning and deep learning algorithm. The intention recognition accuracy and reliability are improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to an intent recognition method and device. Background technique [0002] The essence of intent recognition is text classification. As an application problem of supervised learning, the text classification problem is not essentially different from the classification problem in the field of machine learning. The optimal matching result is used as the classification result, which can describe the text classification problem through the framework of machine learning. Text classification is divided into two processes: learning process and classification process. [0003] The learning process needs to learn samples, but in the existing learning process, due to the lack of input data, irregular samples, and many intentions, the final recognition result is not accurate. Contents of the invention [0004] In view of the above problems, the present invention provid...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/216G06F40/289G06F40/242G06N3/08G06N20/00
CPCG06F16/35G06F40/216G06F40/289G06F40/242G06N3/08G06N20/00
Inventor 张宾俞果孙喜民郑斌孙博李慧超
Owner STATE GRID E COMMERCE CO LTD
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