64 citations · 285 across the 10 of their papers we have counts for
8 papers · 1 filter
Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
Aspect-based sentiment analysis (ABSA) tries to predict the polarity of a given document with respect to a given aspect entity. While neural network architectures have been success…
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
Temporal gates play a significant role in modern recurrent-based neural encoders, enabling fine-grained control over recursive compositional operations over time. In recurrent mode…
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring
Yi Tay, Minh C. Phan, Luu Anh Tuan +1
Deep learning has demonstrated tremendous potential for Automatic Text Scoring (ATS) tasks. In this paper, we describe a new neural architecture that enhances vanilla neural networ…
Differentially Private Regression for Discrete-Time Survival Analysis
Thông T. Nguyên, Siu Cheung Hui
In survival analysis, regression models are used to understand the effects of explanatory variables (e.g., age, sex, weight, etc.) to the survival probability. However, for sensiti…
Privacy-Preserving Mechanisms for Parametric Survival Analysis with Weibull Distribution
Thông T. Nguyên, Siu Cheung Hui
Survival analysis studies the statistical properties of the time until an event of interest occurs. It has been commonly used to study the effectiveness of medical treatments or th…
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
Yi Tay, Luu Anh Tuan, Minh C. Phan +1
Many popular knowledge graphs such as Freebase, YAGO or DBPedia maintain a list of non-discrete attributes for each entity. Intuitively, these attributes such as height, price or p…