335 citations · 1.7k across the 86 of their papers we have counts for
5 papers · 2 filters
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li +4
In this paper, we propose the TBCNN-pair model to recognize entailment and contradiction between two sentences. In our model, a tree-based convolutional neural network (TBCNN) capt…
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…
Discriminative Neural Sentence Modeling by Tree-Based Convolution
Lili Mou, Hao Peng, Ge Li +3
This paper proposes a tree-based convolutional neural network (TBCNN) for discriminative sentence modeling. Our models leverage either constituency trees or dependency trees of sen…
Distilling Word Embeddings: An Encoding Approach
Lili Mou, Ran Jia, Yan Xu +3
Distilling knowledge from a well-trained cumbersome network to a small one has recently become a new research topic, as lightweight neural networks with high performance are partic…