285 citations · 677 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
On End-to-End Program Generation from User Intention by Deep Neural Networks
Lili Mou, Rui Men, Ge Li +2
This paper envisions an end-to-end program generation scenario using recurrent neural networks (RNNs): Users can express their intention in natural language; an RNN then automatica…
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…