54 citations · 87 across the 14 of their papers we have counts for
5 papers · 1 filter
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context
Gabriele Pergola, Yulan He, David Lowe
Making sense of words often requires to simultaneously examine the surrounding context of a term as well as the global themes characterizing the overall corpus. Several topic model…
Variational Conditional GAN for Fine-grained Controllable Image Generation
Mingqi Hu, Deyu Zhou, Yulan He
In this paper, we propose a novel variational generator framework for conditional GANs to catch semantic details for improving the generation quality and diversity. Traditional gen…
Open Event Extraction from Online Text using a Generative Adversarial Network
Rui Wang, Deyu Zhou, Yulan He
To extract the structured representations of open-domain events, Bayesian graphical models have made some progress. However, these approaches typically assume that all words in a d…
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis
Gabriele Pergola, Lin Gui, Yulan He
We propose a topic-dependent attention model for sentiment classification and topic extraction. Our model assumes that a global topic embedding is shared across documents and emplo…
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
Jichuan Zeng, Jing Li, Yulan He +3
This paper presents an unsupervised framework for jointly modeling topic content and discourse behavior in microblog conversations. Concretely, we propose a neural model to discove…