WO2026001645 - UNKNOWN CLASS AWARE, PRIVACY PRESERVING, CUSTOMIZABLE AND SCALABLE SENSITIVE DOCUMENT CLASSIFICATION SYSTEM
National phase entry is expected:
Publication Number
WO/2026/001645
Publication Date
02.01.2026
International Application No.
PCT/CN2025/099810
International Filing Date
09.06.2025
Title **
[English]
UNKNOWN CLASS AWARE, PRIVACY PRESERVING, CUSTOMIZABLE AND SCALABLE SENSITIVE DOCUMENT CLASSIFICATION SYSTEM
[French]
SYSTÈME DE CLASSIFICATION DE DOCUMENTS SENSIBLES, PERSONNALISABLE ET ÉVOLUTIF PRENANT EN COMPTE DES CLASSES INCONNUES ET RESPECTUEUX DE LA VIE PRIVÉE
Applicants **
HUAWEI TECHNOLOGIES CO., LTD.
Inventors
LIU, Jinxin
GE, Tongyu
YANG, Zao
PAN, Ting
Priority Data
18/752,991
25.06.2024
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
CNIPA
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Patent Delivery |
Send the Letters Patent by Courier
* |
| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 1897 | |
| EPO | Filing, Examination, Granting | 14200 | |
| Japan | Filing, Examination, Granting | 2315 | |
| South Korea | Filing, Examination, Granting | 2449 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
25,601
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Abstract[English]
A method and processor for classifying documents are provided. Using a classification model with classifiers, items are classified into classes. The method includes acquiring a model for classification, creating a training dataset with items and class labels, and training a new classifier for an additional class not in the original set. This results in a modified model that includes both the original classifiers and the new classifier, allowing for classification into an expanded set of classes. The method involves generating a training dataset, training a new classifier, modifying the classification model, and determining a predicted class for items, including the new class.[French]
L'invention concerne un procédé et un processeur pour la classification de documents. À l'aide d'un modèle de classification comportant des classificateurs, des éléments sont classés en classes. Le procédé comprend l'acquisition d'un modèle de classification, la création d'un ensemble de données d'entraînement comportant des éléments et des étiquettes de classe, et l'entraînement d'un nouveau classificateur pour une classe supplémentaire ne figurant pas dans l'ensemble d'origine. Il en résulte un modèle modifié qui comprend à la fois les classificateurs d'origine et le nouveau classificateur, ce qui permet une classification en un ensemble élargi de classes. Le procédé consiste à générer un ensemble de données d'entraînement, à entraîner un nouveau classificateur, à modifier le modèle de classification et à déterminer une classe prédite pour des éléments, y compris la nouvelle classe.