64 citations · 217 across the 9 of their papers we have counts for
9 papers
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay, Aston Zhang, Luu Anh Tuan +5
Many state-of-the-art neural models for NLP are heavily parameterized and thus memory inefficient. This paper proposes a series of lightweight and memory efficient neural architect…
Quaternion Collaborative Filtering for Recommendation
Shuai Zhang, Lina Yao, Lucas Vinh Tran +2
This paper proposes Quaternion Collaborative Filtering (QCF), a novel representation learning method for recommendation. Our proposed QCF relies on and exploits computation with Qu…
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Yi Tay, Shuohang Wang, Luu Anh Tuan +6
This paper tackles the problem of reading comprehension over long narratives where documents easily span over thousands of tokens. We propose a curriculum learning (CL) based Point…
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
Shuai Zhang, Yi Tay, Lina Yao +2
Deep learning based recommender systems have been extensively explored in recent years. However, the large number of models proposed each year poses a big challenge for both resear…
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…