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This repo implements GAN-based models for Dialogue Generation (DP-GAN, SeqGAN, and our own proposed DPAC-GAN)

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This repo implements DP-GAN (https://arxiv.org/abs/1802.01345) and SeqGAN for Neural Dialogue generation (https://arxiv.org/abs/1701.06547). Additionally, we propose a new Actor Critic framework for DP-GAN which we call DPAC-GAN. This project is done for the course Information Retrieval 2 as part of the Masters in Artificial Intelligence.

We based code for the generator on seq2seq models from IBM (https://github.com/IBM/pytorch-seq2seq) and use NLG-Eval from (https://github.com/Maluuba/nlg-eval).

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This repo implements GAN-based models for Dialogue Generation (DP-GAN, SeqGAN, and our own proposed DPAC-GAN)

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  • Python 99.2%
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