Natural Language Generation

Approaches used for generating text samples:

• Long Short Term Memory (Refer: LSTM RNN)
• Sequences in Generative Adverserial Networks (Refer: SeqGAN)
• Code Generative Adverserial Networks (Refer: CodeGAN)
• Sequence Correction using Denoising Autoencoder (Refer: SeqCorrNet)

Our exploration with Generative Adversarial Networks and LSTMs for Part-of-Speech Tags based language generation:

• GrammarGAN (Refer: GrammarGAN)

Authors