169 citations · 180 across the 2 of their papers we have counts for
4 papers
Compressing Neural Language Models by Sparse Word Representations
Yunchuan Chen, Lili Mou, Yan Xu +2
Neural networks are among the state-of-the-art techniques for language modeling. Existing neural language models typically map discrete words to distributed, dense vector represent…
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Yan Xu, Ran Jia, Lili Mou +4
Nowadays, neural networks play an important role in the task of relation classification. By designing different neural architectures, researchers have improved the performance to a…
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
Hao Peng, Lili Mou, Ge Li +3
This paper aims to compare different regularization strategies to address a common phenomenon, severe overfitting, in embedding-based neural networks for NLP. We chose two widely s…
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Xu Yan, Lili Mou, Ge Li +3
Relation classification is an important research arena in the field of natural language processing (NLP). In this paper, we present SDP-LSTM, a novel neural network to classify the…