972 citations · 1.3k across the 8 of their papers we have counts for
17 papers
Self-Balanced Dropout
Shen Li, Chenhao Su, Renfen Hu +1
Dropout is known as an effective way to reduce overfitting via preventing co-adaptations of units. In this paper, we theoretically prove that the co-adaptation problem still exists…
Zooming Network
Yukun Yan, Daqi Zheng, Zhengdong Lu +1
Structural information is important in natural language understanding. Although some current neural net-based models have a limited ability to take local syntactic information, the…
Neural Entity Reasoner for Global Consistency in NER
Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu +1
We propose Neural Entity Reasoner (NE-Reasoner), a framework to introduce global consistency of recognized entities into Neural Reasoner over Named Entity Recognition (NER) task. G…
Generalize Symbolic Knowledge With Neural Rule Engine
Shen Li, Hengru Xu, Zhengdong Lu
As neural networks have dominated the state-of-the-art results in a wide range of NLP tasks, it attracts considerable attention to improve the performance of neural models by integ…
JUMPER: Learning When to Make Classification Decisions in Reading
Xianggen Liu, Lili Mou, Haotian Cui +2
In early years, text classification is typically accomplished by feature-based machine learning models; recently, deep neural networks, as a powerful learning machine, make it poss…
Event Identification as a Decision Process with Non-linear Representation of Text
Yukun Yan, Daqi Zheng, Zhengdong Lu +1
We propose scale-free Identifier Network(sfIN), a novel model for event identification in documents. In general, sfIN first encodes a document into multi-scale memory stacks, then…