Enhancing Local Feature Extraction with Global Representation for Neural Text Classification

no code implementations • IJCNLP 2019 • Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao

For text classification, traditional local feature driven models learn long dependency by deeply stacking or hybrid modeling.

General Classification text-classification +1

Generalize Symbolic Knowledge With Neural Rule Engine

no code implementations • 30 Aug 2018 • 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 integrating symbolic knowledge.

From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information

1 code implementation • CONLL 2018 • Hengru Xu, Shen Li, Renfen Hu, Si Li, Sheng Gao

Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training.

General Classification Sentiment Analysis +3