Information extraction method and device, electronic equipment and storage medium

Information extraction method and device, electronic equipment and storage medium

The invention relates to an information extraction method and device, electronic equipment and a storage medium, and relates to the field of text processing.The method comprises the steps that vectorization processing is conducted on at least one statement in a to-be-extracted operation record, at l...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ZHANG XIA, ZHAO GENGHONG, CAI WEI
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 invention relates to an information extraction method and device, electronic equipment and a storage medium, and relates to the field of text processing.The method comprises the steps that vectorization processing is conducted on at least one statement in a to-be-extracted operation record, at least one corresponding vectorized statement is obtained, the at least one vectorized statement is translated through a translation model, and a translation result is obtained; the method comprises the following steps: extracting a plurality of vectorized statements according to a sequence annotation model to obtain an operation expression corresponding to each vectorized statement, and extracting information of the operation expression corresponding to each vectorized statement by using the sequence annotation model to obtain target information corresponding to the operation expression corresponding to each vectorized statement, wherein the number of the operation expressions corresponding to each vectorized statem