Дискриминатор

method ID: discriminator

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AbstractWe apply adversarial training to open-domain dialogue generation, training a system to produce sequences that are indistinguishable from human-generated dialogue utterances. We cast the task as a reinforcement learning problem …...

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A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators

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AbstractVisual Question Generation (VQG) aims to ask natural questions about an image automatically. Existing research focus on training model to fit the annotated data set that makes it indifferent from …...

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Context Encoder for Analogies on Strings

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We propose a model based on context en- coder to solve formal analogies on strings like aaabbbccc : aaaabbbbcccc :: abc : x ⇒ x = aabbcc or ubid : …...

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Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

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