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Conference
Dyadic Memory Networks for Aspect-based Sentiment Analysis
This paper proposes Dyadic Memory Networks (DyMemNN), a novel extension of end-to-end memory networks (memNN) for aspect-based …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
SkipFlow:Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring
Deep learning has demonstrated tremendous potential for Automatic Text Scoring (ATS) tasks. In this paper, we describe a new neural …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
The dominant neural architectures in question answer retrieval are based on recurrent or convolutional encoders configured with complex …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
This paper proposes a new neural architecture for collaborative ranking with implicit feedback. Our model, LRML (\textit{Latent …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
We describe a new deep learning architecture for learning to rank question answer pairs. Our approach extends the long short-term …
Yi Tay
,
Minh C. Phan
,
Luu Anh Tuan
,
Siu Cheung Hui
Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs
Knowledge graphs play a significant role in many intelligent systems such as semantic search and recommendation systems. Recent works …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction
Link prediction on knowledge graphs is useful in numerous application areas such as semantic search, question answering, entity …
Yi Tay
,
Luu Anh Tuan
,
Siu Cheung Hui
,
Falk Brauer
Utilizing Temporal Information for Taxonomy Construction
Taxonomies play an important role in many applications by organizing domain knowledge into a hierarchy of ‘is-a’ relations between …
Luu Anh Tuan
,
Siu Cheung Hui
,
See-Kiong Ng
Learning Term Embeddings for Taxonomic Relation Identification with Dynamic Weighting Neural Network
In this paper, the aim is to recognize the ‘is-a’ relation between two terms through taxonomic relation identification. …
Luu Anh Tuan
,
Yi Tay
,
Siu Cheung Hui
,
See-Kiong Ng
Overview of the Gene Ontology Task at BioCreative IV
Gene ontology (GO) annotation is a common task among model organism databases (MODs) for capturing gene function data from journal …
Yuqing Mao
,
Kimberly Van Auken
,
Donghui Li
,
Luu Anh Tuan
,
Jung-Jae Kim
,
Jung-Hsien Chiang
,
Yu-De Chen
,
Jian-Ming Chen
,
Hong-Jie Dai
,
Zhiyong Lu
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