Intention recognition method, system and device based on deep learning and storage medium

A technology of deep learning and recognition methods, applied in the field of language recognition, which can solve problems such as weak ability of cross-domain migration, inability to exhaustively generate rules, and conflicts between rules

Pending Publication Date: 2021-02-12
CTRIP COMP TECH SHANGHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) The setting of rules usually relies on domain knowledge and needs professionals to set, which consumes manpower
[0007] (2) Due to the diversity of natural language expressions, a large number of rules need to be set to cover different expressions, but even so, it is impossible to exhaust all the rules
[0008] (3) Rule-based methods cannot continue to evolve based on actual data for self-learning. When encountering problems, they can only be solved by continuously setting new rules.
[0009] (4) If there are more and more...

Method used

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  • Intention recognition method, system and device based on deep learning and storage medium
  • Intention recognition method, system and device based on deep learning and storage medium
  • Intention recognition method, system and device based on deep learning and storage medium

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Embodiment Construction

[0046] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals denote the same or similar structures in the drawings, and thus their repeated descriptions will be omitted.

[0047] figure 1 is a flow chart of the deep learning-based intent recognition method of the present invention. like figure 1 As shown, the embodiment of the present invention provides a deep learning-based intent recognition method, including the following steps:

[0048] S110. Acquire sentence information to be parsed and perform preprocessing.

[0049] S120. Segment the sentence information using a word segmentation ...

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Abstract

The invention provides an intention recognition method, system and device based on deep learning and a storage medium. The method comprises the steps of acquiring and preprocessing the statement information to be analyzed; performing word segmentation on the statement information by using a word segmentation tool; weighting all the segmented words by using a pre-trained word vector model; obtaining a mood classification corresponding to the statement information by using a pre-trained first neural network; obtaining sentence pattern classification corresponding to the sentence information by using a pre-trained second neural network; obtaining expression classifications corresponding to the statement information by using a pre-trained third neural network; and predicting the intention category of the statement information by using a pre-trained fourth neural network according to the mood classification, sentence pattern classification and expression classification of the statement information. According to the method, the feature information of the statement text information in the corresponding field does not need to be extracted, and the intention type to be expressed by the statement can be accurately determined from the statement text information by analyzing the word vector of each segmented word in the statement text information.

Description

technical field [0001] The present invention relates to the field of language recognition, in particular, to a method, system, device and storage medium for intent recognition based on deep learning. Background technique [0002] Dialogue System is a human-computer interaction system based on natural language. Through the dialogue system, people can use natural language to interact with the computer for multiple rounds to complete specific tasks, such as information query, service acquisition, etc. The dialogue system provides a more natural and convenient way of human-computer interaction, and is widely used in vehicle, home, customer service and other scenarios. [0003] Among them, Natural Language Understanding (Natural Language Understanding) is the core module in the dialogue system. The goal of natural language understanding is to convert the text information of natural language into a semantic representation (Semantic Representation) that can be processed by a comp...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/289G06F40/30G06N3/04
CPCG06F16/35G06F40/289G06F40/30G06N3/049G06N3/045
Inventor 江小林罗超胡泓李巍邹宇
Owner CTRIP COMP TECH SHANGHAI
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