221 citations · 708 across the 59 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…
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…
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
Yi Tay, Minh C. Phan, Luu Anh Tuan +1
We describe a new deep learning architecture for learning to rank question answer pairs. Our approach extends the long short-term memory (LSTM) network with holographic composition…
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
Zhe Wang, Kingsley Kuan, Mathieu Ravaut +13
The YouTube-8M video classification challenge requires teams to classify 0.7 million videos into one or more of 4,716 classes. In this Kaggle competition, we placed in the top 3% o…
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
The dominant neural architectures in question answer retrieval are based on recurrent or convolutional encoders configured with complex word matching layers. Given that recent arch…
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
This paper proposes a new neural architecture for collaborative ranking with implicit feedback. Our model, LRML (\textit{Latent Relational Metric Learning}) is a novel metric learn…