Selection question interference item automatic generation method and model based on deep learning

The invention discloses a deep learning-based selection question interference item automatic generation method and model, and the model comprises an answer encoder which is used for encoding an answer of a selection question to obtain an answer representation vector; the article encoder is used for...

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Bibliographische Detailangaben

Hauptverfasser:	ZHENG HAITAO, XIA SHUTAO, XIAO XI, LI MINGCHAO, LIU HAOZHUANG, JIANG YONG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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