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Title:
METHOD AND APPARATUS FOR CARRYING OUT CLASSIFICATION PREDICTION BY USING TEXT CLASSIFICATION MODEL
Document Type and Number:
WIPO Patent Application WO/2021/143396
Kind Code:
A1
Abstract:
A method and apparatus for carrying out classification prediction by using a text classification model. The text classification model comprises an embedding layer, a convolutional layer, an attention layer and a classifier. The method for carrying out classification prediction comprises: carrying out word embedding on tag description text corresponding to K categories in advance to obtain K tag vectors; during prediction, carrying out word embedding on input text by using an embedding layer so as to obtain a word vector sequence; at a convolutional layer, carrying out convolution processing on the word vector sequence by using convolution windows of different widths so as to obtain a fragment vector sequence; then, at an attention layer, respectively carrying out first attention processing on each vector sequence, wherein the first attention processing comprises determining, according to the similarity between a vector element in the vector sequence and the K tag vectors, a weight factor of the vector element, and then carrying out weighted summation to obtain a first sequence vector; and obtaining a representation vector of the input text on the basis of the first sequence vector of each sequence, and a classifier obtaining a category prediction result of the input text on the basis of the representation vector.

Inventors:
XIONG TAO (CN)
Application Number:
PCT/CN2020/134518
Publication Date:
July 22, 2021
Filing Date:
December 08, 2020
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Assignee:
ALIPAY HANGZHOU INF TECH CO LTD (CN)
International Classes:
G06F16/35
Foreign References:
CN111291183A2020-06-16
CN110347839A2019-10-18
CN110609897A2019-12-24
CN110163220A2019-08-23
CN110046248A2019-07-23
US20090248394A12009-10-01
Attorney, Agent or Firm:
BEIJING BESTIPR INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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