6 citations · 9 across the 2 of their papers we have counts for
2 papers
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.CL2018★ 6 cited
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
Ruizhe Li, Chenghua Lin, Matthew Collinson +2
Recognising dialogue acts (DA) is important for many natural language processing tasks such as dialogue generation and intention recognition. In this paper, we propose a dual-atten…