6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.IR2019★ 1 cited
Topic Modeling with Wasserstein Autoencoders
Feng Nan, Ran Ding, Ramesh Nallapati +1
We propose a novel neural topic model in the Wasserstein autoencoders (WAE) framework. Unlike existing variational autoencoder based models, we directly enforce Dirichlet prior on…
cs.CL2018★ 6 cited
Coherence-Aware Neural Topic Modeling
Ran Ding, Ramesh Nallapati, Bing Xiang
Topic models are evaluated based on their ability to describe documents well (i.e. low perplexity) and to produce topics that carry coherent semantic meaning. In topic modeling so…