Convolutional Neural Networks over Tree Structures for Programming Language Processing L Mou, G Li, L Zhang, T Wang, Z Jin AAAI, 1287--1293, 2016 | 957* | 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 EMNLP, 1785--1794, 2015 | 820 | 2015 |
Natural Language Inference by Tree-Based Convolution and Heuristic Matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin ACL 2, 130--136, 2016 | 430 | 2016 |
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 | 429 | 2019 |
How Transferable are Neural Networks in NLP Applications? L Mou, Z Meng, R Yan, G Li, Y Xu, L Zhang, Z Jin EMNLP, 231--236, 2016 | 361 | 2016 |
Disentangled Representation Learning for Non-Parallel Text Style Transfer V John, L Mou, H Bahuleyan, O Vechtomova ACL, 424--434, 2019 | 345 | 2019 |
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 COLING, 3349--3358, 2016 | 287 | 2016 |
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 COLING, 1461--1470, 2016 | 277 | 2016 |
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems C Tao, L Mou, D Zhao, R Yan AAAI, 722--729, 2018 | 247 | 2018 |
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 | 210* | 2014 |
Affective Neural Response Generation N Asghar, P Poupart, J Hoey, X Jiang, L Mou ECIR, 154--166, 2018 | 187 | 2018 |
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling N Miao, H Zhou, L Mou, R Yan, L Li AAAI, 6834--6942, 2019 | 185 | 2019 |
TreeGen: A Tree-Based Transformer Architecture for Code Generation Z Sun, Q Zhu, Y Xiong, Y Sun, L Mou, L Zhang AAAI, 8984--8991, 2020 | 178 | 2020 |
Discriminative Neural Sentence Modeling by Tree-Based Convolution L Mou, H Peng, G Li, Y Xu, L Zhang, Z Jin EMNLP, 2315--2325, 2015 | 166 | 2015 |
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 ACL 2, 231--236, 2017 | 149 | 2017 |
Variational Attention for Sequence-to-Sequence Models H Bahuleyan, L Mou, O Vechtomova, P Poupart COLING, 1672--1682, 2018 | 141 | 2018 |
A Grammar-Based Structural CNN Decoder for Code Generation Z Sun, Q Zhu, L Mou, Y Xiong, G Li, L Zhang AAAI, 7055--7062, 2019 | 134 | 2019 |
Generating Sentences from Disentangled Syntactic and Semantic Spaces Y Bao, H Zhou, S Huang, L Li, L Mou, O Vechtomova, X Dai, J Chen ACL, 6008--6019, 2019 | 127 | 2019 |
Order-Planning Neural Text Generation From Structured Data L Sha, L Mou, T Liu, P Poupart, S Li, B Chang, Z Sui AAAI, 5414--5421, 2018 | 121 | 2018 |
Unsupervised Paraphrasing by Simulated Annealing X Liu, L Mou, F Meng, H Zhou, J Zhou, S Song ACL, 302--312, 2020 | 90 | 2020 |