Pun-GAN: Generative Adversarial Network for Pun Generation

Understand

In this paper, we focus on the task of generating a pun sentence given a pair of word senses.

• A major challenge for pun generation is the lack of large-scale pun corpus to guide the supervised learning.
• To remedy this, we propose an adversarial generative network for pun generation (Pun-GAN), which does not require any pun corpus.
• It consists of a generator to produce pun sentences, and a discriminator to distinguish between the generated pun sentences and the real sentences with specific word senses.