Papers with multi-level decoder structure

1 papers
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models (P19-1)

Copied to clipboard

Challenge: Variational autoencoders (VAEs) have received much attention as an end-to-end architecture for text generation with latent variables.
Approach: They propose to leverage several multi-level structures to learn a variational autoencoder model for generating long, and coherent text.
Outcome: The proposed model produces more coherent and less repetitive long text compared to baselines and mitigates posterior collapse issue.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations