Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders

Understand

Computer poetry generation is our first step towards computer writing.

• Writing must have a theme.
• The current approaches of using sequence-to-sequence models with attention often produce non-thematic poems.
• We present a novel conditional variational autoencoder with a hybrid decoder adding the deconvolutional neural networks to the general recurrent neural networks to fully learn topic information via latent variables.