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Penalty-based Sequence Generative Adversarial Networks with Enhanced Transformer for Text Generation
In this paper, we propose a new model to solve the problem of text generation, which is based on the concept of seqGAN, combines self-attention with modeling localness, and introduces the penalty-based objective function.
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