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2020 – today
- 2024
- [c76]Behzad Shayegh, Yuqiao Wen, Lili Mou:
Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing. ACL (1) 2024: 15135-15156 - [c75]Yutong Han, Yan Yuan, Lili Mou:
A Dual-View Approach to Classifying Radiology Reports by Co-Training. LREC/COLING 2024: 477-483 - [c74]Sajad Ramezani, Mauajama Firdaus, Lili Mou:
Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection. LREC/COLING 2024: 3235-3241 - [c73]Dongheng Li, Yongchang Hao, Lili Mou:
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. LREC/COLING 2024: 10657-10664 - [c72]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. ICLR 2024 - [c71]Zijun Wu, Yongkang Wu, Lili Mou:
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. ICLR 2024 - [c70]Yongchang Hao, Yanshuai Cao, Lili Mou:
Flora: Low-Rank Adapters Are Secretly Gradient Compressors. ICML 2024 - [i71]Yongchang Hao, Yanshuai Cao, Lili Mou:
Flora: Low-Rank Adapters Are Secretly Gradient Compressors. CoRR abs/2402.03293 (2024) - [i70]Yongchang Hao, Yanshuai Cao, Lili Mou:
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. CoRR abs/2402.03295 (2024) - [i69]Behzad Shayegh, Yuqiao Wen, Lili Mou:
Ensemble-Based Unsupervised Discontinuous Constituency Parsing by Tree Averaging. CoRR abs/2403.00143 (2024) - [i68]Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou:
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. CoRR abs/2403.00144 (2024) - [i67]Ning Shi, Zijun Wu, Lili Mou:
Action Controlled Paraphrasing. CoRR abs/2405.11277 (2024) - [i66]Yutong Han, Yan Yuan, Lili Mou:
A Dual-View Approach to Classifying Radiology Reports by Co-Training. CoRR abs/2406.05995 (2024) - [i65]Dongheng Li, Yongchang Hao, Lili Mou:
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. CoRR abs/2409.12500 (2024) - 2023
- [c69]Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou:
f-Divergence Minimization for Sequence-Level Knowledge Distillation. ACL (1) 2023: 10817-10834 - [c68]Guoqing Luo, Yutong Han, Lili Mou, Mauajama Firdaus:
Prompt-Based Editing for Text Style Transfer. EMNLP (Findings) 2023: 5740-5750 - [c67]Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou:
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. ICLR 2023 - [c66]Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou:
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. ICLR 2023 - [c65]Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou:
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. IJCNLP (Findings) 2023: 161-170 - [p1]Xianggen Liu, Zhengdong Lu, Lili Mou:
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. Compendium of Neurosymbolic Artificial Intelligence 2023: 665-692 - [i64]Guoqing Luo, Yutong Han, Lili Mou, Mauajama Firdaus:
Prompt-Based Editing for Text Style Transfer. CoRR abs/2301.11997 (2023) - [i63]Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou:
f-Divergence Minimization for Sequence-Level Knowledge Distillation. CoRR abs/2307.15190 (2023) - [i62]Zijun Wu, Anup Anand Deshmukh, Yongkang Wu, Jimmy Lin, Lili Mou:
Unsupervised Chunking with Hierarchical RNN. CoRR abs/2309.04919 (2023) - [i61]Lili Mou:
Search and Learning for Unsupervised Text Generation. CoRR abs/2309.09497 (2023) - [i60]Xianggen Liu, Zhengdong Lu, Lili Mou:
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR abs/2309.13072 (2023) - [i59]Zijun Wu, Yongkang Wu, Lili Mou:
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. CoRR abs/2310.01691 (2023) - [i58]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. CoRR abs/2310.01717 (2023) - 2022
- [j5]Lili Mou
:
Search and Learning for Unsupervised Text Generation. AI Mag. 43(4): 344-352 (2022) - [c64]Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang:
Generalized Equivariance and Preferential Labeling for GNN Node Classification. AAAI 2022: 8395-8403 - [c63]Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI 2022: 10776-10784 - [c62]Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou:
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. AAAI 2022: 10858-10866 - [c61]Puyuan Liu, Chenyang Huang, Lili Mou:
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. ACL (1) 2022: 7916-7929 - [c60]Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis:
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. AIIDE 2022: 163-170 - [c59]Yuqiao Wen, Guoqing Luo, Lili Mou:
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. LREC 2022: 146-153 - [c58]Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao:
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. NAACL-HLT 2022: 2920-2929 - [c57]Yongchang Hao, Yuxin Liu, Lili Mou:
Teacher Forcing Recovers Reward Functions for Text Generation. NeurIPS 2022 - [c56]Puyuan Liu, Xiang Zhang, Lili Mou:
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. NeurIPS 2022 - [c55]Siguang Huang, Yunli Wang
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW 2022: 2236-2246 - [i57]Yuqiao Wen, Guoqing Luo, Lili Mou:
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. CoRR abs/2201.06219 (2022) - [i56]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR abs/2202.04348 (2022) - [i55]Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao:
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. CoRR abs/2204.12679 (2022) - [i54]Puyuan Liu, Chenyang Huang, Lili Mou:
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. CoRR abs/2205.14521 (2022) - [i53]Puyuan Liu, Xiang Zhang, Lili Mou:
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. CoRR abs/2205.14522 (2022) - [i52]Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis:
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. CoRR abs/2208.05162 (2022) - [i51]Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou:
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. CoRR abs/2209.14627 (2022) - [i50]Yongchang Hao, Yuxin Liu, Lili Mou:
Teacher Forcing Recovers Reward Functions for Text Generation. CoRR abs/2210.08708 (2022) - 2021
- [j4]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465: 310-324 (2021) - [c54]Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP 2021: 61-66 - [c53]Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. CIKM 2021: 2984-2988 - [c52]Anup Anand Deshmukh, Qianqiu Zhang
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. EMNLP (Findings) 2021: 3626-3634 - [c51]Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane:
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT 2021: 4717-4724 - [c50]Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou:
Semi-Supervised and Unsupervised Sense Annotation via Translations. RANLP 2021: 504-513 - [c49]Amirpasha Ghabussi, Lili Mou, Olga Vechtomova:
Wasserstein Autoencoders with Mixture of Gaussian Priors for Stylized Text Generation. TDS 2021: 23-31 - [i49]Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang:
Dynamic Labeling for Unlabeled Graph Neural Networks. CoRR abs/2102.11485 (2021) - [i48]Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. CoRR abs/2106.03376 (2021) - [i47]Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou:
Semi-Supervised and Unsupervised Sense Annotation via Translations. CoRR abs/2106.06462 (2021) - [i46]Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou:
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. CoRR abs/2109.08927 (2021) - [i45]Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. CoRR abs/2109.10715 (2021) - [i44]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. CoRR abs/2110.01384 (2021) - [i43]Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR abs/2110.07515 (2021) - [i42]Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou:
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. CoRR abs/2112.02770 (2021) - 2020
- [j3]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Finding decision jumps in text classification. Neurocomputing 371: 177-187 (2020) - [c48]Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang:
TreeGen: A Tree-Based Transformer Architecture for Code Generation. AAAI 2020: 8984-8991 - [c47]Lili Mou, Olga Vechtomova:
Stylized Text Generation: Approaches and Applications. ACL (tutorial) 2020: 19-22 - [c46]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. ACL 2020: 302-312 - [c45]Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert:
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. ACL 2020: 5032-5042 - [c44]Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova:
Iterative Edit-Based Unsupervised Sentence Simplification. ACL 2020: 7918-7928 - [c43]Yunli Wang
Formality Style Transfer with Shared Latent Space. COLING 2020: 2236-2249 - [c42]Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova:
Adversarial Learning on the Latent Space for Diverse Dialog Generation. COLING 2020: 5026-5034 - [c41]Yixing Luan, Bradley Hauer, Lili Mou, Grzegorz Kondrak:
Improving Word Sense Disambiguation with Translations. EMNLP (1) 2020: 4055-4065 - [c40]Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang:
Progressive Memory Banks for Incremental Domain Adaptation. ICLR 2020 - [c39]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020 - [i41]Pourya Vakilipourtakalou, Lili Mou:
How Chaotic Are Recurrent Neural Networks? CoRR abs/2004.13838 (2020) - [i40]Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert:
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. CoRR abs/2005.01791 (2020) - [i39]Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova:
Iterative Edit-Based Unsupervised Sentence Simplification. CoRR abs/2006.09639 (2020) - [i38]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. CoRR abs/2007.08557 (2020)
2010 – 2019
- 2019
- [c38]Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI 2019: 6834-6842 - [c37]Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. AAAI 2019: 7055-7062 - [c36]Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova:
Disentangled Representation Learning for Non-Parallel Text Style Transfer. ACL (1) 2019: 424-434 - [c35]Bowen Li, Lili Mou, Frank Keller:
An Imitation Learning Approach to Unsupervised Parsing. ACL (1) 2019: 3485-3492 - [c34]Yu Bao
Generating Sentences from Disentangled Syntactic and Semantic Spaces. ACL (1) 2019: 6008-6019 - [c33]Lili Mou, Hao Zhou, Lei Li:
Discreteness in Neural Natural Language Processing. EMNLP/IJCNLP (2) 2019 - [c32]Yunli Wang
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. EMNLP/IJCNLP (1) 2019: 3571-3576 - [c31]Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin:
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP 2019: 7290-7294 - [c30]Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova:
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. NAACL-HLT (1) 2019: 4068-4076 - [i37]Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin:
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR abs/1903.12136 (2019) - [i36]Bowen Li, Lili Mou, Frank Keller:
An Imitation Learning Approach to Unsupervised Parsing. CoRR abs/1906.02276 (2019) - [i35]Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, Jiajun Chen:
Generating Sentences from Disentangled Syntactic and Semantic Spaces. CoRR abs/1907.05789 (2019) - [i34]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. CoRR abs/1909.03588 (2019) - [i33]Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova:
Conditional Response Generation Using Variational Alignment. CoRR abs/1911.03817 (2019) - [i32]Amirpasha Ghabussi, Lili Mou, Olga Vechtomova:
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior. CoRR abs/1911.03828 (2019) - [i31]Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang:
TreeGen: A Tree-Based Transformer Architecture for Code Generation. CoRR abs/1911.09983 (2019) - 2018
- [b1]Lili Mou, Zhi Jin:
Tree-Based Convolutional Neural Networks - Principles and Applications. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-13-1869-6, pp. 1-94 - [j2]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 6: 145-157 (2018) - [c29]Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan:
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. AAAI 2018: 722-729 - [c28]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c27]Zhao Meng, Lili Mou, Zhi Jin:
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. AAAI 2018: 8121-8122 - [c26]Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart:
Variational Attention for Sequence-to-Sequence Models. COLING 2018: 1672-1682 - [c25]Nabiha Asghar
Affective Neural Response Generation. ECIR 2018: 154-166 - [c24]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Jumper: Learning When to Make Classification Decision in Reading. IJCAI 2018: 4237-4243 - [c23]Zhao Meng, Lili Mou, Zhi Jin:
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. LREC 2018 - [i30]Hareesh Bahuleyan, Lili Mou, Kartik Vamaraju, Hao Zhou, Olga Vechtomova:
Probabilistic Natural Language Generation with Wasserstein Autoencoders. CoRR abs/1806.08462 (2018) - [i29]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
JUMPER: Learning When to Make Classification Decisions in Reading. CoRR abs/1807.02314 (2018) - [i28]Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova:
Disentangled Representation Learning for Text Style Transfer. CoRR abs/1808.04339 (2018) - [i27]Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang:
Progressive Memory Banks for Incremental Domain Adaptation. CoRR abs/1811.00239 (2018) - [i26]Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. CoRR abs/1811.06837 (2018) - [i25]Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR abs/1811.10996 (2018) - 2017
- [c22]Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao:
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. ACL (2) 2017: 231-236 - [c21]Zhao Meng, Lili Mou, Zhi Jin:
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. CIKM 2017: 2203-2206 - [c20]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICLR (Workshop) 2017 - [c19]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICML 2017: 2518-2526 - [i24]Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan:
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. CoRR abs/1701.03079 (2017) - [i23]Zhao Meng, Lili Mou, Zhi Jin:
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. CoRR abs/1703.07713 (2017) - [i22]Zhao Meng, Lili Mou, Zhi Jin:
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. CoRR abs/1708.03152 (2017) - [i21]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i20]Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou:
Affective Neural Response Generation. CoRR abs/1709.03968 (2017) - [i19]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. CoRR abs/1711.09502 (2017) - [i18]Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin:
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. CoRR abs/1712.02250 (2017) - [i17]Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart:
Variational Attention for Sequence-to-Sequence Models. CoRR abs/1712.08207 (2017) - 2016
- [c18]Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin:
Convolutional Neural Networks over Tree Structures for Programming Language Processing. AAAI 2016: 1287-1293 - [c17]Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin:
Compressing Neural Language Models by Sparse Word Representations. ACL (1) 2016 - [c16]Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin:
Natural Language Inference by Tree-Based Convolution and Heuristic Matching. ACL (2) 2016 - [c15]Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin:
Distilling Word Embeddings: An Encoding Approach. CIKM 2016: 1977-1980 - [c14]Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
Improved relation classification by deep recurrent neural networks with data augmentation. COLING 2016: 1461-1470 - [c13]Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin:
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. COLING 2016: 3349-3358 - [c12]Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
How Transferable are Neural Networks in NLP Applications? EMNLP 2016: 479-489 - [c11]Xiang Li, Lili Mou, Rui Yan, Ming Zhang:
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. IJCAI 2016: 2845-2851 - [c10]Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang:
Dialogue Session Segmentation by Embedding-Enhanced TextTiling. INTERSPEECH 2016: 2706-2710 - [c9]Zhao Meng, Lili Mou, Ge Li, Zhi Jin:
Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. KSEM 2016: 515-526 - [i16]Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation. CoRR abs/1601.03651 (2016) - [i15]Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
How Transferable are Neural Networks in NLP Applications? CoRR abs/1603.06111 (2016) - [i14]Xiang Li, Lili Mou, Rui Yan, Ming Zhang:
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. CoRR abs/1604.04358 (2016) - [i13]Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin:
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. CoRR abs/1607.00970 (2016) - [i12]Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin:
Compressing Neural Language Models by Sparse Word Representations. CoRR abs/1610.03950 (2016) - [i11]Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang:
Dialogue Session Segmentation by Embedding-Enhanced TextTiling. CoRR abs/1610.03955 (2016) - [i10]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. CoRR abs/1612.02741 (2016) - 2015
- [c8]Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin:
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. EMNLP 2015: 1785-1794 - [c7]Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. EMNLP 2015: 2106-2111 - [c6]Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
Discriminative Neural Sentence Modeling by Tree-Based Convolution. EMNLP 2015: 2315-2325 - [c5]Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin:
Building Program Vector Representations for Deep Learning. KSEM 2015: 547-553 - [i9]Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
Tree-based Convolution: A New Neural Architecture for Sentence Modeling. CoRR abs/1504.01106 (2015) - [i8]Lili Mou, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
Distilling Word Embeddings: An Encoding Approach. CoRR abs/1506.04488 (2015) - [i7]Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin:
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path. CoRR abs/1508.03720 (2015) - [i6]Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. CoRR abs/1508.03721 (2015) - [i5]Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin:
On End-to-End Program Generation from User Intention by Deep Neural Networks. CoRR abs/1510.07211 (2015) - [i4]Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin:
Backbone Language Modeling for Constrained Natural Language Generation. CoRR abs/1512.06612 (2015) - [i3]Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin:
Recognizing Entailment and Contradiction by Tree-based Convolution. CoRR abs/1512.08422 (2015) - 2014
- [j1]Yan Xu, Ge Li, Lili Mou, Yangyang Lu:
Learning Non-Taxonomic Relations on Demand for Ontology Extension. Int. J. Softw. Eng. Knowl. Eng. 24(8): 1159-1176 (2014) - [c4]Lili Mou, Ge Li, Zhi Jin, Lu Zhang:
Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. KSEM 2014: 81-92 - [i2]Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang:
Building Program Vector Representations for Deep Learning. CoRR abs/1409.3358 (2014) - [i1]Lili Mou, Ge Li, Zhi Jin, Lu Zhang, Tao Wang:
TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. CoRR abs/1409.5718 (2014) - 2013
- [c3]Lili Mou, Ge Li, Zhi Jin:
Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. COMPSAC 2013: 387-392 - [c2]Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin:
MCT: a tool for commenting programs by multimedia comments. ICSE 2013: 1339-1342 - 2012
- [c1]Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao:
Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. APSEC 2012: 213-222
Coauthor Index
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