1.5k citations · 1.9k across the 19 of their papers we have counts for
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Group Sparse CNNs for Question Classification with Answer Sets
Mingbo Ma, Liang Huang, Bing Xiang +1
Question classification is an important task with wide applications. However, traditional techniques treat questions as general sentences, ignoring the corresponding answer data. I…
Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization
Wei Zhang, Bowen Zhou
Learning to remember long sequences remains a challenging task for recurrent neural networks. Register memory and attention mechanisms were both proposed to resolve the issue with…
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Mingbo Ma, Kai Zhao, Liang Huang +2
Sentence-level classification and sequential labeling are two fundamental tasks in language understanding. While these two tasks are usually modeled separately, in reality, they ar…
R: Reinforced Reader-Ranker for Open-Domain Question Answering
Shuohang Wang, Mo Yu, Xiaoxiao Guo +7
In recent years researchers have achieved considerable success applying neural network methods to question answering (QA). These approaches have achieved state of the art results i…
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks
Cicero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou
We propose discriminative adversarial networks (DAN) for semi-supervised learning and loss function learning. Our DAN approach builds upon generative adversarial networks (GANs) an…
Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3
Relation detection is a core component for many NLP applications including Knowledge Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural netwo…