Papers with Pun-GAN

1 papers
Pun-GAN: Generative Adversarial Network for Pun Generation (D19-1)

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Challenge: Existing methods for generating pun sentences with word senses lack large-scale corpus for supervised learning . a pun is a clever and amusing use of a word with two meanings (word senses)
Approach: They propose an adversarial generative network for pun generation with a generator and a discriminator to distinguish between generated pun sentences and real sentences with specific word senses.
Outcome: The proposed network generates sentences that are more ambiguous and diverse in both automatic and human evaluation.

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