Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

no code implementations • COLING 2016 • Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

However, existing neural networks for relation classification are usually of shallow architectures (e. g., one-layer convolutional neural networks or recurrent networks).

Classification Data Augmentation +3

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks

no code implementations • EMNLP 2015 • Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

This paper aims to compare different regularization strategies to address a common phenomenon, severe overfitting, in embedding-based neural networks for NLP.