Text processing method and device, medium and program product

Text processing method and device, medium and program product

The embodiment of the invention relates to a text processing method and device, a medium and a program product. The text processing method comprises the steps of obtaining a first training text and a first standard text marked as matched with the first training text in a standard text library, where...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: YUAN YANA, TIAN CONG, XU MENGZHU
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The embodiment of the invention relates to a text processing method and device, a medium and a program product. The text processing method comprises the steps of obtaining a first training text and a first standard text marked as matched with the first training text in a standard text library, wherein the standard text library comprises a plurality of standard texts used in a knowledge field; generating a second training text by modifying a second standard text in the standard text library, wherein the second training text is marked to be matched with the second standard text; and training, using the first and second training texts and the first and second standard texts, a model configured to generate a feature representation of the text according to a training target, the training target being determined at least to enable a first feature representation generated by the model for the first training text to be reconstructed into the first standard text, and enabling a second feature representation generated