62 citations · 130 across the 40 of their papers we have counts for
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cs.CL2019
Predicting Discourse Structure using Distant Supervision from Sentiment
Patrick Huber, Giuseppe Carenini
Discourse parsing could not yet take full advantage of the neural NLP revolution, mostly due to the lack of annotated datasets. We propose a novel approach that uses distant superv…
cs.CL2019★ 2 cited
Extractive Summarization of Long Documents by Combining Global and Local Context
Wen Xiao, Giuseppe Carenini
In this paper, we propose a novel neural single document extractive summarization model for long documents, incorporating both the global context of the whole document and the loca…
cs.CL2019
Evaluating Topic Quality with Posterior Variability
Linzi Xing, Michael J. Paul, Giuseppe Carenini
Probabilistic topic models such as latent Dirichlet allocation (LDA) are popularly used with Bayesian inference methods such as Gibbs sampling to learn posterior distributions over…