Diversity-Aware Coherence Loss for Improving Neural Topic Models

Raymond Li, Felipe González-Pizarro, Linzi Xing +2

The standard approach for neural topic modeling uses a variational autoencoder (VAE) framework that jointly minimizes the KL divergence between the estimated posterior and prior, i…