Natural Language Generation

Mindmap of the project

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:




Authors