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Lili Mou
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Cited by
Year
Convolutional Neural Networks over Tree Structures for Programming Language Processing
L Mou, G Li, L Zhang, T Wang, Z Jin
Proc. AAAI, 1287--1293, 2016
846*2016
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
Y Xu, L Mou, G Li, Y Chen, H Peng, Z Jin
Proc. EMNLP, 1785--1794, 2015
7712015
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin
Proc. ACL 2, 130--136, 2016
4132016
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
R Tang, Y Lu, L Liu, L Mou, O Vechtomova, J Lin
arXiv preprint arXiv:1903.12136, 2019
3682019
How Transferable are Neural Networks in NLP Applications?
L Mou, Z Meng, R Yan, G Li, Y Xu, L Zhang, Z Jin
Proc. EMNLP, 231--236, 2016
3462016
Disentangled Representation Learning for Non-Parallel Text Style Transfer
V John, L Mou, H Bahuleyan, O Vechtomova
Proc. ACL, 424--434, 2019
3072019
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
L Mou, Y Song, R Yan, G Li, L Zhang, Z Jin
Proc. COLING, 3349--3358, 2016
2752016
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Y Xu, R Jia, L Mou, G Li, Y Chen, Y Lu, Z Jin
Proc. COLING, 1461--1470, 2016
2592016
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
C Tao, L Mou, D Zhao, R Yan
Proc. AAAI, 722--729, 2018
2222018
Building Program Vector Representations for Deep Learning
L Mou, G Li, Y Liu, H Peng, Z Jin, Y Xu, L Zhang
arXiv preprint arXiv:1409.3358, 2014
199*2014
Affective Neural Response Generation
N Asghar, P Poupart, J Hoey, X Jiang, L Mou
Proc. ECIR, 154--166, 2018
1712018
Discriminative Neural Sentence Modeling by Tree-Based Convolution
L Mou, H Peng, G Li, Y Xu, L Zhang, Z Jin
Proc. EMNLP, 2315--2325, 2015
1672015
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
N Miao, H Zhou, L Mou, R Yan, L Li
Proc. AAAI, 6834--6942, 2019
1582019
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models
Z Tian, R Yan, L Mou, Y Song, Y Feng, D Zhao
Proc. ACL 2, 231--236, 2017
1442017
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Z Sun, Q Zhu, Y Xiong, Y Sun, L Mou, L Zhang
Proc. AAAI, 8984--8991, 2020
1352020
Variational Attention for Sequence-to-Sequence Models
H Bahuleyan, L Mou, O Vechtomova, P Poupart
Proc. COLING, 1672--1682, 2018
1302018
A Grammar-Based Structural CNN Decoder for Code Generation
Z Sun, Q Zhu, L Mou, Y Xiong, G Li, L Zhang
Proc. AAAI, 7055--7062, 2019
1152019
Order-Planning Neural Text Generation From Structured Data
L Sha, L Mou, T Liu, P Poupart, S Li, B Chang, Z Sui
Proc. AAAI, 5414--5421, 2018
1152018
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Y Bao, H Zhou, S Huang, L Li, L Mou, O Vechtomova, X Dai, J Chen
Proc. ACL, 6008--6019, 2019
1032019
Unsupervised Paraphrasing by Simulated Annealing
X Liu, L Mou, F Meng, H Zhou, J Zhou, S Song
Proc. ACL, 302--312, 2020
812020
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Articles 1–20