Coded text generation method and device based on adversarial training and electronic equipment

The invention discloses a coded text generation method and device based on adversarial training and electronic equipment. The method comprises the steps that an adversarial generative network is constructed in advance; the generative adversarial network is optimized, an optimized generative adversar...

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Bibliographische Detailangaben
Hauptverfasser: YU GUANGBO, GAN WEICHAO, ZHOU JINGYU, ZOU HONGYUE, LIN YUANPING
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a coded text generation method and device based on adversarial training and electronic equipment. The method comprises the steps that an adversarial generative network is constructed in advance; the generative adversarial network is optimized, an optimized generative adversarial network is generated, and discarded masks in each training in the optimized generative adversarial network are not fixed; performing adversarial training on the pre-training model according to the generative adversarial network to generate a target pre-training model; and inputting bond information to be processed into the target pre-training model to generate a coded text. According to the embodiment of the invention, a fixed dropout mask is not adopted any more, but a probability distribution measurement index or a mean square error and the like are adopted to constrain the output difference of the two different dropout models, so that the dropout can play the role of the dropout, the output of the two differ