23 citations · 157 across the 46 of their papers we have counts for
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cs.CL2019★ 3 cited
A Stable Variational Autoencoder for Text Modelling
Ruizhe Li, Xiao Li, Chenghua Lin +2
Variational Autoencoder (VAE) is a powerful method for learning representations of high-dimensional data. However, VAEs can suffer from an issue known as latent variable collapse (…
cs.CL2019
Deep Ensemble Learning for News Stance Detection
Wenjun Liao, Chenghua Lin
Stance detection in fake news is an important component in news veracity assessment because this process helps fact-checking by understanding stance to a central claim from differe…
cs.LG2019★ 11 cited
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
Xiao Li, Chenghua Lin, Ruizhe Li +2
We tackle the problem disentangling the latent space of an autoencoder in order to separate labelled attribute information from other characteristic information. This then allows u…