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Dialogue intention recognition method based on entity replacement

A recognition method, named entity recognition technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of model training cost and difficulty increase, achieve the effect of reducing magnitude and imbalance and improving accuracy

Pending Publication Date: 2020-08-18
NANTONG UNIVERSITY +1
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AI Technical Summary

Problems solved by technology

With the increase of the types of intentions, the cost and difficulty of model training of this method will be greatly increased, and it is not suitable for the intention recognition of complex dialogue systems

Method used

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  • Dialogue intention recognition method based on entity replacement
  • Dialogue intention recognition method based on entity replacement
  • Dialogue intention recognition method based on entity replacement

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with specific examples, but these examples are not used to limit the present invention.

[0046] A dialogue intent recognition method based on entity replacement, such as figure 1 As shown, the method includes the following steps:

[0047] Step 1: Text word segmentation

[0048] Use the word segmentation tool to segment the text information obtained by the speech recognition module, and obtain the token segmentation result set Token, where the token segmentation result can be expressed as a set {W}, and W represents the segmented word.

[0049] Step 2: Text Filtering

[0050] Establish the required stop word lexicon according to the dialogue system, usually stop words include but are not limited to auxiliary words, modal particles, linking words, etc. Use the stop word thesaurus to filter the text information of the word segmentation result set Token obtained in step 1, and obtain the result Token a...

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Abstract

The invention discloses a dialogue intention recognition method based on entity replacement. The dialogue intention recognition method comprises the following steps of 1, text word segmentation; 2, text filtering; 3, recognition of the text named entities; 4, replacing of the text named entities; 5, text feature extraction; and 6, text intention recognition. The dialogue intention recognition method utilizes the named entity recognition result to replace the entity name in the text information with the entity type, and can reduce the magnitude and imbalance degree of corpus data of the dialogue system, so as to comprehensively improve the accuracy of dialogue process intention recognition.

Description

technical field [0001] The invention relates to a dialogue intention recognition method, in particular to a dialogue intention recognition method based on entity replacement. Background technique [0002] In recent years, under the influence of the rapid development of artificial intelligence and semiconductor chip technology and the increasing demand for voice interaction, various application products based on dialogue systems, such as smart speakers, smart furniture, and smart voice customer service, have gradually blossomed in the market. [0003] Such dialogue systems generally consist of five modules: speech recognition (ASR), natural language understanding (NLU), dialogue management (DM), natural language generation (NLG) and speech synthesis (TTS). At present, the speech recognition module has a good solution using deep learning technology. The natural language generation and speech synthesis modules are relatively easy to control. The difficulty in the design of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/242G06F16/35G06F16/335G10L15/26
CPCG06F40/295G06F40/242G06F16/355G06F16/335G10L15/26
Inventor 张堃王天宇周波李文俊
Owner NANTONG UNIVERSITY
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