Lili Mou
Lili Mou
Assistant Professor, University of Alberta
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
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
4782015
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
374*2016
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
2862016
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
2362016
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
1822016
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
1672016
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
1372015
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
1362019
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
121*2014
Disentangled Representation Learning for Non-Parallel Text Style Transfer
V John, L Mou, H Bahuleyan, O Vechtomova
Proc. ACL, 424--434, 2019
1002019
Affective Neural Response Generation
N Asghar, P Poupart, J Hoey, X Jiang, L Mou
Proc. ECIR, 154--166, 2018
982018
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
942018
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
862017
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
622018
Variational Attention for Sequence-to-Sequence Models
H Bahuleyan, L Mou, O Vechtomova, P Poupart
Proc. COLING, 1672--1682, 2018
592018
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
N Miao, H Zhou, L Mou, R Yan, L Li
AAAI, 6834--6942, 2019
492019
On End-to-End Program Generation from User Intention by Deep Neural Networks
L Mou, R Men, G Li, L Zhang, Z Jin
arXiv preprint arXiv:1510.07211, 2015
392015
Coupling Distributed and Symbolic Execution for Natural Language Queries
L Mou, Z Lu, H Li, Z Jin
Proc. ICML, 2518--2526, 2017
372017
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation
X Li, L Mou, R Yan, M Zhang
Proc. IJCAI, 2845--2851, 2016
352016
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
342019
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