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Title:
DOCUMENT CLASSIFICATION METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/024614
Kind Code:
A1
Abstract:
The present disclosure provides a document classification method and apparatus, an electronic device and a storage medium, which relate to the technical field of artificial intelligence, in particular to the technical fields of computer vision and deep learning, and can be applied in smart city and smart finance scenarios. A specific implementation solution is: a document classification method, comprising: acquiring text information and image information of text comprised in a document to be processed; performing fusion on the basis of the text information and the image information to obtain a fusion feature; acquiring a feature sequence of the text according to the fusion feature; and determining the category of the document on the basis of a predefined document category and the feature sequence. The technical solution provided in the present disclosure solves the technical problem of document obfuscation in document classification, and improves the classification accuracy.

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Inventors:
LI YULIN (CN)
YU YUECHEN (CN)
QIN XIAMENG (CN)
ZHANG CHENGQUAN (CN)
YAO KUN (CN)
HAN JUNYU (CN)
LIU JINGTUO (CN)
Application Number:
PCT/CN2022/094788
Publication Date:
March 02, 2023
Filing Date:
May 24, 2022
Export Citation:
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Assignee:
BEIJING BAIDU NETCOM SCI & TECH CO LTD (CN)
International Classes:
G06F16/35
Foreign References:
CN113742483A2021-12-03
CN112685565A2021-04-20
CN113033534A2021-06-25
CN111782808A2020-10-16
CN112966522A2021-06-15
US20200019769A12020-01-16
US20200302016A12020-09-24
Other References:
SUN QIANG, FU YANWEI: "Stacked Self-Attention Networks for Visual Question Answering", PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, 13 June 2019 (2019-06-13), pages 207 - 211, XP093038913, DOI: 10.1145/3323873.3325044
Attorney, Agent or Firm:
COMMERCE & FINANCE LAW OFFICES (CN)
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