Intention category identification method and device, electronic equipment and storage medium

A recognition method and intent technology, applied in character and pattern recognition, electrical digital data processing, text database clustering/classification, etc., can solve problems such as difficult to identify unknown intent category texts

Pending Publication Date: 2022-06-24
ZHONGKE DINGFU BEIJING TECH DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the actual practice process, it is found that these text classification models have a good accuracy rate for the trained intent category texts, and it is difficult to identify untrained unknown intent category texts.

Method used

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  • Intention category identification method and device, electronic equipment and storage medium
  • Intention category identification method and device, electronic equipment and storage medium
  • Intention category identification method and device, electronic equipment and storage medium

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the implementations. example. The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed descriptions of the embodiments of the present application provided in the accompanying drawings are not intended to limit the scope of the claimed embodiments of the present application, but merely represent selected ones of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work...

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Abstract

The invention provides an intention category recognition method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-recognized text; the intention type of the to-be-recognized text is recognized through an intention recognition model, the intention type of the to-be-recognized text is obtained, the intention recognition model is obtained by training through a simulation data set, and the simulation data set comprises an unknown intention text having logic conflicts with the original text and a known intention text having no logic conflicts with the original text. According to the method, the intention category of the text is effectively recognized through the intention recognition model trained through the simulation data set containing the unknown intention text, and the situation that the unknown intention category text is still classified to the known intention category through a traditional model is avoided; and the intention type of the unknown intention text can be effectively identified by the intention identification model trained by the simulation data set.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence and natural language processing, and in particular, to a method, apparatus, electronic device and storage medium for identifying an intent category. Background technique [0002] Intention identification, also known as intent category identification, refers to identifying the intent of text content in the technical field of Natural Language Processing (NLP) to obtain the semantically expressed intent of the text content category. [0003] At present, the text classification model based on neural network structure is usually used to identify the intent category of the text content, so as to obtain the semantically expressed intent result of the text content. However, in the specific practice process, it is found that these text classification models have a good accuracy rate for the trained intent category text, and it is difficult to identify the unknown intent category ...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/289G06K9/62
CPCG06F16/35G06F40/289G06F18/214
Inventor刘小康李健铨穆晶晶胡加明
OwnerZHONGKE DINGFU BEIJING TECH DEV