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ORCIDMing Zhou 0001
Person information
- affiliation: langboat.com, Beijing, China
- affiliation: Sinovation Ventures, Beijing, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (PhD 1991): Harbin Institute of Technology, China
Other persons with the same name
- Ming Zhou — disambiguation page
- Ming Zhou 0002
![[0000-0003-4101-3185]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4101-3185")
— Bristol-Myers Squibb, Global Biometric Sciences, New York City, NY, USA (and 1 more) - Ming Zhou 0003 — Northeast Normal University, Department of Chemistry, Changchun, Jilin, China
- Ming Zhou 0004 — Tsinghua University, Beijing, China (and 1 more)
- Ming Zhou 0005 — Tsinghua University, School of Aerospace Engineering, Beijing, China (and 1 more)
- Ming Zhou 0006 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
- Ming Zhou 0007 — University of Rostock, Department of Mathematics, Rostock, Germany
- Ming Zhou 0008 — North China Electric Power University, School of Electrical and Electronic Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China
- Ming Zhou 0009 — Shenzhen University, College of Management, Shenzhen, China (and 2 more)
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2020 – today
- 2025
[c278]Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu:
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. AAAI 2025: 24759-24767- 2024
- [j38]Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, Dawei Song:
A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models. ACM Comput. Surv. 56(3): 64:1-64:37 (2024) - [j37]Wang Xu, Yongliang Ma, Kehai Chen, Ming Zhou, Muyun Yang, Tiejun Zhao:
Hierarchical Latent Alignment for Non-Autoregressive Generation under High Compression Ratio. IEICE Trans. Inf. Syst. 107(3): 411-419 (2024) - [j36]Chin-Ling Chen, Qing-Yang Huang, Ming Zhou, Der-Chen Huang, Ling-Chun Liu, Yong-Yuan Deng:
Quantified emotion analysis based on design principles of color feature recognition in pictures. Multim. Tools Appl. 83(19): 57243-57267 (2024) - [c277]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. AAAI 2024: 6431-6439 - [i119]Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu:
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. CoRR abs/2408.10613 (2024) - 2023
- [j35]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving task generalization via unified schema prompt. AI Open 4: 120-129 (2023) - [j34]Hanmeng Liu, Jian Liu, Leyang Cui, Zhiyang Teng, Nan Duan, Ming Zhou, Yue Zhang:
LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2947-2962 (2023) - [j33]Yi Dou, Xinling Liu, Ming Zhou, Jianjun Wang:
Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization. Vis. Comput. 39(8): 3495-3505 (2023) - 2022
- [j32]Chin-Ling Chen, Zhi-Peng Zhu, Ming Zhou, Woei-Jiunn Tsaur, Chih-Ming Wu, Hongyu Sun:
A Secure and Traceable Vehicles and Parts System Based on Blockchain and Smart Contract. Sensors 22(18): 6754 (2022) - [j31]Chin-Ling Chen, Cheng-Chen Fang, Ming Zhou, Woei-Jiunn Tsaur, Hongyu Sun, Wanbing Zhan, Yong-Yuan Deng:
A Blockchain-Based Anti-Counterfeit and Traceable NBA Digital Trading Card Management System. Symmetry 14(9): 1827 (2022) - [j30]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2201-2216 (2022) - [j29]Jian Zhao, Weizhen Qi, Wengang Zhou, Nan Duan, Ming Zhou, Houqiang Li:
Conditional Sentence Generation and Cross-Modal Reranking for Sign Language Translation. IEEE Trans. Multim. 24: 2662-2672 (2022) - [c276]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. ACL (Findings) 2022: 1619-1629 - [c275]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. ACL (1) 2022: 7212-7225 - [c274]Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma:
Trace Controlled Text to Image Generation. ECCV (36) 2022: 59-75 - [c273]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [c272]Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou:
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. NAACL-HLT 2022: 1550-1565 - [c271]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
Analytical Reasoning of Text. NAACL-HLT (Findings) 2022: 2306-2319 - [c270]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [i118]Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, Dawei Song:
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models. CoRR abs/2201.05337 (2022) - [i117]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i116]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. CoRR abs/2203.03850 (2022) - [i115]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i114]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i113]Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang:
Pre-Training a Graph Recurrent Network for Language Representation. CoRR abs/2209.03834 (2022) - [i112]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: A High-Resolution Panorama Synthesis Framework. CoRR abs/2210.04522 (2022) - 2021
- [j28]Chin-Ling Chen, Yong-Yuan Deng, Wei Weng, Ming Zhou, Hongyu Sun:
A blockchain-based intelligent anti-switch package in tracing logistics system. J. Supercomput. 77(7): 7791-7832 (2021) - [c269]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c268]Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou:
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. ACL/IJCNLP (1) 2021: 754-763 - [c267]Yu Tang, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Muyun Yang:
Grammar-Based Patches Generation for Automated Program Repair. ACL/IJCNLP (Findings) 2021: 1300-1305 - [c266]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c265]Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan, Shuai Ma:
Control Image Captioning Spatially and Temporally. ACL/IJCNLP (1) 2021: 2014-2025 - [c264]Shuo Ren, Long Zhou, Shujie Liu, Furu Wei, Ming Zhou, Shuai Ma:
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation. ACL/IJCNLP (1) 2021: 4518-4527 - [c263]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. ACL/IJCNLP (1) 2021: 5638-5650 - [c262]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c261]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. EMNLP (Findings) 2021: 881-894 - [c260]Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Zhoujun Li:
Jointly Learning to Repair Code and Generate Commit Message. EMNLP (1) 2021: 9784-9795 - [c259]Sanyuan Chen, Yu Wu, Zhuo Chen, Jian Wu, Jinyu Li, Takuya Yoshioka, Chengyi Wang, Shujie Liu, Ming Zhou:
Continuous Speech Separation with Conformer. ICASSP 2021: 5749-5753 - [c258]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c257]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML 2021: 8630-8639 - [c256]Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou:
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. NAACL-HLT 2021: 3576-3588 - [c255]Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li, Ming Zhou:
Smart-Start Decoding for Neural Machine Translation. NAACL-HLT 2021: 3982-3988 - [c254]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c253]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. NLPCC (1) 2021: 786-797 - [c252]Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou:
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. PAKDD (3) 2021: 325-337 - [i111]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i110]Yuchen Jiang, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Ming Zhou:
BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation. CoRR abs/2103.11878 (2021) - [i109]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. CoRR abs/2104.06598 (2021) - [i108]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. CoRR abs/2105.03659 (2021) - [i107]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - [i106]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. CoRR abs/2106.15903 (2021) - [i105]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. CoRR abs/2108.00648 (2021) - [i104]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. CoRR abs/2109.00271 (2021) - [i103]Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Zhoujun Li:
Jointly Learning to Repair Code and Generate Commit Message. CoRR abs/2109.12296 (2021) - 2020
- [j27]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 671-681 (2020) - [j26]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [c251]Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou:
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation. AAAI 2020: 9161-9168 - [c250]Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou:
Alternating Language Modeling for Cross-Lingual Pre-Training. AAAI 2020: 9386-9393 - [c249]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. ACL 2020: 1406-1416 - [c248]Shuo Ren, Shujie Liu, Ming Zhou, Shuai Ma:
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction. ACL 2020: 3476-3485 - [c247]Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma:
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation. ACL 2020: 3498-3504 - [c246]Shuming Ma, Dongdong Zhang, Ming Zhou:
A Simple and Effective Unified Encoder for Document-Level Machine Translation. ACL 2020: 3505-3511 - [c245]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c244]Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou, Zhenglu Yang:
Curriculum Pre-training for End-to-End Speech Translation. ACL 2020: 3728-3738 - [c243]Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou:
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264 - [c242]Jian Yang, Shuming Ma, Dongdong Zhang, Zhoujun Li, Ming Zhou:
Improving Neural Machine Translation with Soft Template Prediction. ACL 2020: 5979-5989 - [c241]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c240]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c239]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c238]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c237]Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou:
DocBank: A Benchmark Dataset for Document Layout Analysis. COLING 2020: 949-960 - [c236]Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou:
Unsupervised Fine-tuning for Text Clustering. COLING 2020: 5530-5534 - [c235]Qingyu Zhou, Furu Wei, Ming Zhou:
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization. COLING 2020: 5617-5628 - [c234]Nan Duan, Duyu Tang, Ming Zhou:
Machine Reasoning: Technology, Dilemma and Future. EMNLP (Tutorial Abstracts) 2020: 1-6 - [c233]Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou:
Improving Grammatical Error Correction with Machine Translation Pairs. EMNLP (Findings) 2020: 318-328 - [c232]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c231]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. EMNLP (Findings) 2020: 1784-1795 - [c230]Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou, Ke Xu:
Scheduled DropHead: A Regularization Method for Transformer Models. EMNLP (Findings) 2020: 1971-1980 - [c229]Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. EMNLP (Findings) 2020: 2401-2410 - [c228]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c227]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
Pre-training for Abstractive Document Summarization by Reinstating Source Text. EMNLP (1) 2020: 3646-3660 - [c226]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [c225]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. EMNLP (1) 2020: 5798-5810 - [c224]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c223]Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. EMNLP (1) 2020: 7162-7169 - [c222]Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou:
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. EMNLP (1) 2020: 7859-7869 - [c221]Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
Self-Adversarial Learning with Comparative Discrimination for Text Generation. ICLR 2020 - [c220]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML 2020: 642-652 - [c219]Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou:
Semantic Mask for Transformer Based End-to-End Speech Recognition. INTERSPEECH 2020: 971-975 - [c218]Chengyi Wang, Yu Wu, Liang Lu, Shujie Liu, Jinyu Li, Guoli Ye, Ming Zhou:
Low Latency End-to-End Streaming Speech Recognition with a Scout Network. INTERSPEECH 2020: 2112-2116 - [c217]Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu, Ming Zhou:
MoBoAligner: A Neural Alignment Model for Non-Autoregressive TTS with Monotonic Boundary Search. INTERSPEECH 2020: 3999-4003 - [c216]Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou:
LayoutLM: Pre-training of Text and Layout for Document Image Understanding. KDD 2020: 1192-1200 - [c215]Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li:
TableBank: Table Benchmark for Image-based Table Detection and Recognition. LREC 2020: 1918-1925 - [c214]Botian Shi, Lei Ji, Zhendong Niu, Nan Duan, Ming Zhou, Xilin Chen:
Learning Semantic Concepts and Temporal Alignment for Narrated Video Procedural Captioning. ACM Multimedia 2020: 4355-4363 - [c213]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. NeurIPS 2020 - [c212]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. NLPCC (2) 2020: 305-317 - [i102]Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. CoRR abs/2001.04063 (2020) - [i101]Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
Self-Adversarial Learning with Comparative Discrimination for Text Generation. CoRR abs/2001.11691 (2020) - [i100]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. CoRR abs/2002.01808 (2020) - [i99]Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou:
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. CoRR abs/2002.02925 (2020) - [i98]Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou:
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. CoRR abs/2002.06353 (2020) - [i97]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i96]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. CoRR abs/2002.10957 (2020) - [i95]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR abs/2002.12804 (2020) - [i94]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. CoRR abs/2003.01473 (2020) - [i93]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. CoRR abs/2004.01401 (2020) - [i92]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization. CoRR abs/2004.01853 (2020) - [i91]Qingyu Zhou, Furu Wei, Ming Zhou:
Learning to Summarize Passages: Mining Passage-Summary Pairs from Wikipedia Revision Histories. CoRR abs/2004.02592 (2020) - [i90]Qingyu Zhou, Furu Wei, Ming Zhou:
At Which Level Should We Extract? An Empirical Study on Extractive Document Summarization. CoRR abs/2004.02664 (2020) - [i89]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i88]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. CoRR abs/2004.04494 (2020) - [i87]Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu:
Pre-training Text Representations as Meta Learning. CoRR abs/2004.05568 (2020) - [i86]Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou, Zhenglu Yang:
Curriculum Pre-training for End-to-End Speech Translation. CoRR abs/2004.10093 (2020) - [i85]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. CoRR abs/2004.12057 (2020) - [i84]Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
Scheduled DropHead: A Regularization Method for Transformer Models. CoRR abs/2004.13342 (2020) - [i83]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i82]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. CoRR abs/2004.14201 (2020) - [i81]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. CoRR abs/2005.05806 (2020) - [i80]Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu, Ming Zhou:
MoBoAligner: a Neural Alignment Model for Non-autoregressive TTS with Monotonic Boundary Search. CoRR abs/2005.08528 (2020) - [i79]Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou:
DocBank: A Benchmark Dataset for Document Layout Analysis. CoRR abs/2006.01038 (2020) - [i78]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. CoRR abs/2006.08101 (2020) - [i77]Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou:
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. CoRR abs/2007.07834 (2020) - [i76]Sanyuan Chen, Yu Wu, Zhuo Chen, Jinyu Li, Chengyi Wang, Shujie Liu, Ming Zhou:
Continuous Speech Separation with Conformer. CoRR abs/2008.05773 (2020) - [i75]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i74]Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma:
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. CoRR abs/2009.10297 (2020) - [i73]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. CoRR abs/2010.01475 (2020) - [i72]Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. CoRR abs/2010.03260 (2020) - [i71]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. CoRR abs/2010.07475 (2020) - [i70]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. CoRR abs/2010.08242 (2020) - [i69]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. CoRR abs/2010.10789 (2020) - [i68]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i67]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. CoRR abs/2012.15525 (2020)
2010 – 2019
- 2019
- [j25]Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou:
A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots. Comput. Linguistics 45(1): 163-197 (2019) - [j24]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao:
Text Generation From Tables. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 311-320 (2019) - [c211]Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. AAAI 2019: 241-248 - [c210]Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu:
Regularizing Neural Machine Translation by Target-Bidirectional Agreement. AAAI 2019: 443-450 - [c209]Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou:
Response Generation by Context-Aware Prototype Editing. AAAI 2019: 7281-7288 - [c208]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. ACL (1) 2019: 855-866 - [c207]Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
BERT-based Lexical Substitution. ACL (1) 2019: 3368-3373 - [c206]Xingxing Zhang, Furu Wei, Ming Zhou:
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. ACL (1) 2019: 5059-5069 - [c205]Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study. ACL (1) 2019: 6059-6064 - [c204]Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou:
Dense Procedure Captioning in Narrated Instructional Videos. ACL (1) 2019: 6382-6391 - [c203]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Lei Cui, Songhao Piao, Ming Zhou:
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension. MRQA@EMNLP 2019: 14-18 - [c202]Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma:
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation. EMNLP/IJCNLP (1) 2019: 770-779 - [c201]Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun:
Asking Clarification Questions in Knowledge-Based Question Answering. EMNLP/IJCNLP (1) 2019: 1618-1629 - [c200]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. EMNLP/IJCNLP (1) 2019: 2485-2494 - [c199]Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Ming Zhou, Dawei Song:
A Tensorized Transformer for Language Modeling. NeurIPS 2019: 2229-2239 - [c198]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS 2019: 13042-13054 - [c197]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-training. NLPCC (1) 2019: 16-28 - [c196]Weikang Li, Xingxing Zhang, Yunfang Wu, Furu Wei, Ming Zhou:
Document-Based Question Answering Improves Query-Focused Multi-document Summarization. NLPCC (2) 2019: 41-52 - [c195]Shuangzhi Wu, Dongdong Zhang, Ming Zhou:
Effective Soft-Adaptation for Neural Machine Translation. NLPCC (2) 2019: 254-264 - [c194]Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. NLPCC (1) 2019: 499-511 - [c193]Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839 - [i66]Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. CoRR abs/1901.04112 (2019) - [i65]Haoyu Zhang, Yeyun Gong, Yu Yan, Nan Duan, Jianjun Xu, Ji Wang, Ming Gong, Ming Zhou:
Pretraining-Based Natural Language Generation for Text Summarization. CoRR abs/1902.09243 (2019) - [i64]Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li:
TableBank: Table Benchmark for Image-based Table Detection and Recognition. CoRR abs/1903.01949 (2019) - [i63]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. CoRR abs/1905.03197 (2019) - [i62]Xingxing Zhang, Furu Wei, Ming Zhou:
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. CoRR abs/1905.06566 (2019) - [i61]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. CoRR abs/1906.07108 (2019) - [i60]Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Dawei Song, Ming Zhou:
A Tensorized Transformer for Language Modeling. CoRR abs/1906.09777 (2019) - [i59]Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training. CoRR abs/1908.06066 (2019) - [i58]Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma:
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation. CoRR abs/1909.00180 (2019) - [i57]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. CoRR abs/1909.00964 (2019) - [i56]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. CoRR abs/1909.03745 (2019) - [i55]Yi Zhang, Tao Ge, Furu Wei, Ming Zhou, Xu Sun:
Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting. CoRR abs/1909.06002 (2019) - [i54]Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou:
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation. CoRR abs/1909.07575 (2019) - [i53]Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou:
Improving Grammatical Error Correction with Machine Translation Pairs. CoRR abs/1911.02825 (2019) - [i52]Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou:
Semantic Mask for Transformer based End-to-End Speech Recognition. CoRR abs/1912.03010 (2019) - [i51]Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou:
LayoutLM: Pre-training of Text and Layout for Document Image Understanding. CoRR abs/1912.13318 (2019) - 2018
- [j23]Yu Wu, Zhoujun Li, Wei Wu, Ming Zhou:
Response selection with topic clues for retrieval-based chatbots. Neurocomputing 316: 251-261 (2018) - [j22]Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li:
Response selection from unstructured documents for human-computer conversation systems. Knowl. Based Syst. 142: 149-159 (2018) - [j21]Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou:
Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 540-549 (2018) - [j20]Shuangzhi Wu, Dongdong Zhang, Zhirui Zhang, Nan Yang, Mu Li, Ming Zhou:
Dependency-to-Dependency Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2132-2141 (2018) - [j19]Junwei Bao, Yeyun Gong, Nan Duan, Ming Zhou, Tiejun Zhao:
Question Generation With Doubly Adversarial Nets. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2230-2239 (2018) - [c192]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Joint Training for Neural Machine Translation Models with Monolingual Data. AAAI 2018: 555-562 - [c191]Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Sequential Copying Networks. AAAI 2018: 4987-4995 - [c190]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region With Natural Language. AAAI 2018: 5020-5027 - [c189]Chen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou:
Hierarchical Recurrent Attention Network for Response Generation. AAAI 2018: 5610-5617 - [c188]Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou:
S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension. AAAI 2018: 5940-5947 - [c187]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-Based QA With Question-Aware Open Information Extraction. AAAI 2018: 6021-6028 - [c186]Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma:
Triangular Architecture for Rare Language Translation. ACL (1) 2018: 56-65 - [c185]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372 - [c184]Lei Cui, Furu Wei, Ming Zhou:
Neural Open Information Extraction. ACL (2) 2018: 407-413 - [c183]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. ACL (2) 2018: 420-425 - [c182]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
Neural Document Summarization by Jointly Learning to Score and Select Sentences. ACL (1) 2018: 654-663 - [c181]Tao Ge, Furu Wei, Ming Zhou:
Fluency Boost Learning and Inference for Neural Grammatical Error Correction. ACL (1) 2018: 1055-1065 - [c180]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Bidirectional Generative Adversarial Networks for Neural Machine Translation. CoNLL 2018: 190-199 - [c179]Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, Ming Zhou:
Visual Question Generation as Dual Task of Visual Question Answering. CVPR 2018: 6116-6124 - [c178]Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou:
Neural Latent Extractive Document Summarization. EMNLP 2018: 779-784 - [c177]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. EMNLP 2018: 1597-1607 - [c176]Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou:
Attention-Guided Answer Distillation for Machine Reading Comprehension. EMNLP 2018: 2077-2086 - [c175]Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP 2018: 2496-2506 - [c174]Ming Zhou:
What Will Search Engines be Changed by NLP Advancements. ICTIR 2018: 7 - [c173]Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou:
Reinforced Mnemonic Reader for Machine Reading Comprehension. IJCAI 2018: 4099-4106 - [c172]Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou:
Multiway Attention Networks for Modeling Sentence Pairs. IJCAI 2018: 4411-4417 - [c171]Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. KDD 2018: 1880-1889 - [c170]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
EventWiki: A Knowledge Base of Major Events. LREC 2018 - [c169]Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, Ming Zhou:
Learning to Collaborate for Question Answering and Asking. NAACL-HLT 2018: 1564-1574 - [c168]Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Generative Bridging Network for Neural Sequence Prediction. NAACL-HLT 2018: 1706-1715 - [c167]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. NeurIPS 2018: 2946-2955 - [c166]Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Weifeng Lv, Ming Zhou:
I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension. NLPCC (1) 2018: 85-97 - [c165]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. NLPCC (2) 2018: 268-277 - [c164]Jian Yang, Shuangzhi Wu, Dongdong Zhang, Zhoujun Li, Ming Zhou:
Improved Neural Machine Translation with Chinese Phonologic Features. NLPCC (1) 2018: 303-315 - [c163]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Coarse-To-Fine Learning for Neural Machine Translation. NLPCC (1) 2018: 316-328 - [i50]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-based QA with Question-Aware Open Information Extraction. CoRR abs/1801.07414 (2018) - [i49]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Joint Training for Neural Machine Translation Models with Monolingual Data. CoRR abs/1803.00353 (2018) - [i48]Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - [i47]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018) - [i46]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. CoRR abs/1805.02333 (2018) - [i45]Lei Cui, Furu Wei, Ming Zhou:
Neural Open Information Extraction. CoRR abs/1805.04270 (2018) - [i44]Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma:
Triangular Architecture for Rare Language Translation. CoRR abs/1805.04813 (2018) - [i43]Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. CoRR abs/1805.09701 (2018) - [i42]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region with Natural Language. CoRR abs/1805.11234 (2018) - [i41]Yu Wu, Furu Wei, Shaohan Huang, Zhoujun Li, Ming Zhou:
Response Generation by Context-aware Prototype Editing. CoRR abs/1806.07042 (2018) - [i40]Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou:
Dictionary-Guided Editing Networks for Paraphrase Generation. CoRR abs/1806.08077 (2018) - [i39]Tao Ge, Furu Wei, Ming Zhou:
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study. CoRR abs/1807.01270 (2018) - [i38]Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Sequential Copying Networks. CoRR abs/1807.02301 (2018) - [i37]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
Neural Document Summarization by Jointly Learning to Score and Select Sentences. CoRR abs/1807.02305 (2018) - [i36]Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Regularizing Neural Machine Translation by Target-bidirectional Agreement. CoRR abs/1808.04064 (2018) - [i35]Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Ming Zhou:
Read + Verify: Machine Reading Comprehension with Unanswerable Questions. CoRR abs/1808.05759 (2018) - [i34]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. CoRR abs/1808.06304 (2018) - [i33]Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou:
Neural Latent Extractive Document Summarization. CoRR abs/1808.07187 (2018) - [i32]Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou:
Attention-Guided Answer Distillation for Machine Reading Comprehension. CoRR abs/1808.07644 (2018) - [i31]Zhirui Zhang, Shuo Ren, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou, Enhong Chen:
Style Transfer as Unsupervised Machine Translation. CoRR abs/1808.07894 (2018) - [i30]Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Approximate Distribution Matching for Sequence-to-Sequence Learning. CoRR abs/1808.08003 (2018) - [i29]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-Training. CoRR abs/1809.03568 (2018) - [i28]Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. CoRR abs/1809.04318 (2018) - [i27]Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu, Ming Zhou:
Close to Human Quality TTS with Transformer. CoRR abs/1809.08895 (2018) - [i26]Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou:
Text Morphing. CoRR abs/1810.00341 (2018) - 2017
- [j18]Fang Wang, Wei Wu, Zhoujun Li, Ming Zhou:
Named entity disambiguation for questions in community question answering. Knowl. Based Syst. 126: 68-77 (2017) - [c162]Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
Topic Aware Neural Response Generation. AAAI 2017: 3351-3357 - [c161]Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li:
Building Task-Oriented Dialogue Systems for Online Shopping. AAAI 2017: 4618-4626 - [c160]Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou:
SuperAgent: A Customer Service Chatbot for E-commerce Websites. ACL (System Demonstrations) 2017: 97-102 - [c159]Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou:
Gated Self-Matching Networks for Reading Comprehension and Question Answering. ACL (1) 2017: 189-198 - [c158]Yu Wu, Wei Wu, Chen Xing, Ming Zhou, Zhoujun Li:
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. ACL (1) 2017: 496-505 - [c157]Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, Ming Zhou:
Sequence-to-Dependency Neural Machine Translation. ACL (1) 2017: 698-707 - [c156]Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Selective Encoding for Abstractive Sentence Summarization. ACL (1) 2017: 1095-1104 - [c155]Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa, Weijia Jia:
Chunk-based Decoder for Neural Machine Translation. ACL (1) 2017: 1901-1912 - [c154]Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, Ke Xu:
Learning to Generate Product Reviews from Attributes. EACL (1) 2017: 623-632 - [c153]Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. EMNLP 2017: 68-77 - [c152]Nan Duan, Duyu Tang, Peng Chen, Ming Zhou:
Question Generation for Question Answering. EMNLP 2017: 866-874 - [c151]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Stack-based Multi-layer Attention for Transition-based Dependency Parsing. EMNLP 2017: 1677-1682 - [c150]Shuangzhi Wu, Ming Zhou, Dongdong Zhang:
Improved Neural Machine Translation with Source Syntax. IJCAI 2017: 4179-4185 - [c149]Shuangzhi Wu, Dongdong Zhang, Shujie Liu, Ming Zhou:
Modeling Indicative Context for Statistical Machine Translation. NLPCC 2017: 224-232 - [c148]Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao:
An Information Retrieval-Based Approach to Table-Based Question Answering. NLPCC 2017: 601-611 - [c147]Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou:
Neural Question Generation from Text: A Preliminary Study. NLPCC 2017: 662-671 - [c146]Wenzheng Feng, Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering. SemEval@ACL 2017: 280-286 - [i25]Chen Xing, Wei Wu, Yu Wu, Ming Zhou, Yalou Huang, Wei-Ying Ma:
Hierarchical Recurrent Attention Network for Response Generation. CoRR abs/1701.07149 (2017) - [i24]Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou:
Neural Question Generation from Text: A Preliminary Study. CoRR abs/1704.01792 (2017) - [i23]Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. CoRR abs/1704.02788 (2017) - [i22]Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Selective Encoding for Abstractive Sentence Summarization. CoRR abs/1704.07073 (2017) - [i21]Duyu Tang, Nan Duan, Tao Qin, Ming Zhou:
Question Answering and Question Generation as Dual Tasks. CoRR abs/1706.02027 (2017) - [i20]Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, Zhoujun Li:
Content-Based Table Retrieval for Web Queries. CoRR abs/1706.02427 (2017) - [i19]Chuanqi Tan, Furu Wei, Nan Yang, Weifeng Lv, Ming Zhou:
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension. CoRR abs/1706.04815 (2017) - [i18]Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Neural Sequence Prediction by Coaching. CoRR abs/1706.09152 (2017) - [i17]Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou:
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1710.11344 (2017) - [i16]Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li, Ming Zhou:
Neural Response Generation with Dynamic Vocabularies. CoRR abs/1711.11191 (2017) - 2016
- [j17]Li Dong, Furu Wei, Ke Xu, Shixia Liu, Ming Zhou:
Adaptive Multi-Compositionality for Recursive Neural Network Models. IEEE ACM Trans. Audio Speech Lang. Process. 24(3): 422-431 (2016) - [j16]Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou:
Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(2): 496-509 (2016) - [c145]Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang:
Jointly Modeling Topics and Intents with Global Order Structure. AAAI 2016: 2711-2717 - [c144]Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou:
TGSum: Build Tweet Guided Multi-Document Summarization Dataset. AAAI 2016: 2906-2912 - [c143]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Improving Recommendation of Tail Tags for Questions in Community Question Answering. AAAI 2016: 3066-3072 - [c142]Chen Shi, Shujie Liu, Shuo Ren, Shi Feng, Mu Li, Ming Zhou, Xu Sun, Houfeng Wang:
Knowledge-Based Semantic Embedding for Machine Translation. ACL (1) 2016 - [c141]Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li, Jianshe Zhou:
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. ACL (1) 2016 - [c140]Pengjie Ren, Furu Wei, Zhumin Chen, Jun Ma, Ming Zhou:
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization. COLING 2016: 33-43 - [c139]Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou:
Detecting Context Dependent Messages in a Conversational Environment. COLING 2016: 1990-1999 - [c138]Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao:
Constraint-Based Question Answering with Knowledge Graph. COLING 2016: 2503-2514 - [c137]Shi Feng, Shujie Liu, Nan Yang, Mu Li, Ming Zhou, Kenny Q. Zhu:
Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation. COLING 2016: 3082-3092 - [c136]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Event Detection with Burst Information Networks. COLING 2016: 3276-3286 - [c135]Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui:
News Stream Summarization using Burst Information Networks. EMNLP 2016: 784-794 - [c134]Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou:
Solving and Generating Chinese Character Riddles. EMNLP 2016: 846-855 - [c133]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016: 2979-2985 - [c132]Zhao Yan, Nan Duan, Ming Zhou, Zhoujun Li, Jianshe Zhou:
An Open Domain Topic Prediction Model for Answer Selection. NLPCC/ICCPOL 2016: 312-323 - [c131]Kai Zhang, Wei Wu, Fang Wang, Ming Zhou, Zhoujun Li:
Learning Distributed Representations of Data in Community Question Answering for Question Retrieval. WSDM 2016: 533-542 - [i15]Shi Feng, Shujie Liu, Mu Li, Ming Zhou:
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model. CoRR abs/1601.03317 (2016) - [i14]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Topic Augmented Neural Network for Short Text Conversation. CoRR abs/1605.00090 (2016) - [i13]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. CoRR abs/1605.07843 (2016) - [i12]Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
Topic Augmented Neural Response Generation with a Joint Attention Mechanism. CoRR abs/1606.08340 (2016) - [i11]Tao Ge, Qing Dou, Xiaoman Pan, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. CoRR abs/1609.08237 (2016) - [i10]Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou:
Detecting Context Dependent Messages in a Conversational Environment. CoRR abs/1611.00483 (2016) - [i9]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Knowledge Enhanced Hybrid Neural Network for Text Matching. CoRR abs/1611.04684 (2016) - [i8]Yu Wu, Wei Wu, Ming Zhou, Zhoujun Li:
Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1612.01627 (2016) - 2015
- [j15]Dehong Gao, Furu Wei, Wenjie Li, Xiaohua Liu, Ming Zhou:
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation. Comput. Linguistics 41(1): 21-40 (2015) - [j14]Li Dong, Furu Wei, Shujie Liu, Ming Zhou, Ke Xu:
A Statistical Parsing Framework for Sentiment Classification. Comput. Linguistics 41(2): 293-336 (2015) - [j13]Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong:
Towards Machine Translation in Semantic Vector Space. ACM Trans. Asian Low Resour. Lang. Inf. Process. 14(2): 9:1-9:26 (2015) - [j12]Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015) - [j11]Hyun-Kyo Oh, Sang-Wook Kim, Sunju Park, Ming Zhou:
Can You Trust Online Ratings? A Mutual Reinforcement Model for Trustworthy Online Rating Systems. IEEE Trans. Syst. Man Cybern. Syst. 45(12): 1564-1576 (2015) - [c130]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Mining Query Subtopics from Questions in Community Question Answering. AAAI 2015: 339-345 - [c129]Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou:
Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization. AAAI 2015: 2153-2159 - [c128]Li Dong, Furu Wei, Ming Zhou, Ke Xu:
Question Answering over Freebase with Multi-Column Convolutional Neural Networks. ACL (1) 2015: 260-269 - [c127]Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang:
A Dependency-Based Neural Network for Relation Classification. ACL (2) 2015: 285-290 - [c126]Shuangzhi Wu, Dongdong Zhang, Ming Zhou, Tiejun Zhao:
Efficient Disfluency Detection with Transition-based Parsing. ACL (1) 2015: 495-503 - [c125]Ziqiang Cao, Furu Wei, Sujian Li, Wenjie Li, Ming Zhou, Houfeng Wang:
Learning Summary Prior Representation for Extractive Summarization. ACL (2) 2015: 829-833 - [c124]Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, Ming Zhou:
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases. CIKM 2015: 1301-1310 - [c123]Zhou Zhao, Furu Wei, Ming Zhou, Wilfred Ng:
Cold-Start Expert Finding in Community Question Answering via Graph Regularization. DASFAA (1) 2015: 21-38 - [c122]Zhou Zhao, Furu Wei, Ming Zhou, Weikeng Chen, Wilfred Ng:
Crowd-Selection Query Processing in Crowdsourcing Databases: A Task-Driven Approach. EDBT 2015: 397-408 - [c121]Rui Lin, Shujie Liu, Muyun Yang, Mu Li, Ming Zhou, Sheng Li:
Hierarchical Recurrent Neural Network for Document Modeling. EMNLP 2015: 899-907 - [c120]Li Dong, Furu Wei, Hong Sun, Ming Zhou, Ke Xu:
A Hybrid Neural Model for Type Classification of Entity Mentions. IJCAI 2015: 1243-1249 - [c119]Qinglin Li, Shujie Liu, Rui Lin, Mu Li, Ming Zhou:
Entity Translation with Collective Inference in Knowledge Graph. NLPCC 2015: 49-63 - [c118]Li Dong, Furu Wei, Yichun Yin, Ming Zhou, Ke Xu:
Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets. SemEval@NAACL-HLT 2015: 515-519 - [i7]Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong:
Beyond Word-based Language Model in Statistical Machine Translation. CoRR abs/1502.01446 (2015) - [i6]Xiaojun Wan, Ziqiang Cao, Furu Wei, Sujian Li, Ming Zhou:
Multi-Document Summarization via Discriminative Summary Reranking. CoRR abs/1507.02062 (2015) - [i5]Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang:
A Dependency-Based Neural Network for Relation Classification. CoRR abs/1507.04646 (2015) - [i4]Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou:
TGSum: Build Tweet Guided Multi-Document Summarization Dataset. CoRR abs/1511.08417 (2015) - [i3]Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang:
Jointly Modeling Topics and Intents with Global Order Structure. CoRR abs/1512.02009 (2015) - 2014
- [j10]Bo Wang, Ming Zhou, Shujie Liu, Mu Li, Dongdong Zhang:
Woodpecker: An Automatic Methodology for Machine Translation Diagnosis with Rich Linguistic Knowledge. J. Inf. Sci. Eng. 30(5): 1407-1424 (2014) - [c117]Lei Cui, Ming Zhou, Qiming Chen, Dongdong Zhang, Mu Li:
Machine Translation with Real-Time Web Search. AAAI 2014: 23-29 - [c116]Li Dong, Furu Wei, Ming Zhou, Ke Xu:
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis. AAAI 2014: 1537-1543 - [c115]Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong:
Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. AAAI 2014: 1657-1664 - [c114]Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu:
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL (2) 2014: 49-54 - [c113]Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong:
Bilingually-constrained Phrase Embeddings for Machine Translation. ACL (1) 2014: 111-121 - [c112]Lei Cui, Dongdong Zhang, Shujie Liu, Qiming Chen, Mu Li, Ming Zhou, Muyun Yang:
Learning Topic Representation for SMT with Neural Networks. ACL (1) 2014: 133-143 - [c111]Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao:
Knowledge-Based Question Answering as Machine Translation. ACL (1) 2014: 967-976 - [c110]Shujie Liu, Nan Yang, Mu Li, Ming Zhou:
A Recursive Recurrent Neural Network for Statistical Machine Translation. ACL (1) 2014: 1491-1500 - [c109]Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin:
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. ACL (1) 2014: 1555-1565 - [c108]Kai Zhang, Wei Wu, Haocheng Wu, Zhoujun Li, Ming Zhou:
Question Retrieval with High Quality Answers in Community Question Answering. CIKM 2014: 371-380 - [c107]Zhou Zhao, James Cheng, Furu Wei, Ming Zhou, Wilfred Ng, Yingjun Wu:
SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing. CIKM 2014: 779-788 - [c106]Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu:
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. COLING 2014: 172-182 - [c105]Hailong Cao, Dongdong Zhang, Mu Li, Ming Zhou, Tiejun Zhao:
A Lexicalized Reordering Model for Hierarchical Phrase-based Translation. COLING 2014: 1144-1153 - [c104]Hailong Cao, Dongdong Zhang, Ming Zhou, Tiejun Zhao:
Soft Dependency Matching for Hierarchical Phrase-based Machine Translation. COLING 2014: 2227-2236 - [c103]Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014: 477-487 - [c102]Min-Chul Yang, Nan Duan, Ming Zhou, Hae-Chang Rim:
Joint Relational Embeddings for Knowledge-based Question Answering. EMNLP 2014: 645-650 - [c101]Hong Sun, Furu Wei, Ming Zhou:
Answer Extraction with Multiple Extraction Engines for Web-Based Question Answering. NLPCC 2014: 321-332 - [c100]Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou:
Coooolll: A Deep Learning System for Twitter Sentiment Classification. SemEval@COLING 2014: 208-212 - [c99]Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum:
Improving search relevance for short queries in community question answering. WSDM 2014: 43-52 - [i2]Li Dong, Furu Wei, Shujie Liu, Ming Zhou, Ke Xu:
A Statistical Parsing Framework for Sentiment Classification. CoRR abs/1401.6330 (2014) - 2013
- [j9]Xiaohua Liu, Ming Zhou:
Two-stage NER for tweets with clustering. Inf. Process. Manag. 49(1): 264-273 (2013) - [j8]Xiaohua Liu, Furu Wei, Shaodian Zhang, Ming Zhou:
Named entity recognition for tweets. ACM Trans. Intell. Syst. Technol. 4(1): 3:1-3:15 (2013) - [j7]Jinhan Kim, Seung-won Hwang, Long Jiang, Young-In Song, Ming Zhou:
Entity Translation Mining from Comparable Corpora: Combining Graph Mapping with Corpus Latent Features. IEEE Trans. Knowl. Data Eng. 25(8): 1787-1800 (2013) - [c98]Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu:
The Automated Acquisition of Suggestions from Tweets. AAAI 2013: 239-245 - [c97]Dehong Gao, Furu Wei, Wenjie Li, Xiaohua Liu, Ming Zhou:
Co-Training Based Bilingual Sentiment Lexicon Learning. AAAI (Late-Breaking Developments) 2013 - [c96]Zhengyan He, Shujie Liu, Mu Li, Ming Zhou, Longkai Zhang, Houfeng Wang:
Learning Entity Representation for Entity Disambiguation. ACL (2) 2013: 30-34 - [c95]Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang:
Paraphrasing Adaptation for Web Search Ranking. ACL (2) 2013: 41-46 - [c94]Nan Yang, Shujie Liu, Mu Li, Ming Zhou, Nenghai Yu:
Word Alignment Modeling with Context Dependent Deep Neural Network. ACL (1) 2013: 166-175 - [c93]Lei Cui, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou:
Bilingual Data Cleaning for SMT using Graph-based Random Walk. ACL (2) 2013: 340-345 - [c92]Xiaohua Liu, Yitong Li, Haocheng Wu, Ming Zhou, Furu Wei, Yi Lu:
Entity Linking for Tweets. ACL (1) 2013: 1304-1311 - [c91]Xiujuan Chai, Guang Li, Xilin Chen, Ming Zhou, Guobin Wu, Hanjing Li:
VisualComm: a tool to support communication between deaf and hearing persons with the Kinect. ASSETS 2013: 76:1-76:2 - [c90]Hyun-Kyo Oh, Sang-Wook Kim, Sunju Park, Ming Zhou:
Trustable aggregation of online ratings. CIKM 2013: 1233-1236 - [c89]Zhengyan He, Shujie Liu, Yang Song, Mu Li, Ming Zhou, Houfeng Wang:
Efficient Collective Entity Linking with Stacking. EMNLP 2013: 426-435 - [c88]Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou:
Multi-Domain Adaptation for SMT Using Multi-Task Learning. EMNLP 2013: 1055-1065 - [c87]Hong Sun, Nan Duan, Yajuan Duan, Ming Zhou:
Answer Extraction from Passage Graph for Question Answering. IJCAI 2013: 2169-2175 - [c86]Lei Cui, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou:
Collective Corpus Weighting and Phrase Scoring for SMT Using Graph-Based Random Walk. NLPCC 2013: 176-187 - [c85]Kuan Li, Zhongyang Xiong, Yufang Zhang, Xiaohua Liu, Ming Zhou, Guanghua Zhang:
The Spoken/Written Language Classification of English Sentences with Bilingual Information. NLPCC 2013: 370-377 - 2012
- [c84]Jing He, Ming Zhou, Long Jiang:
Generating Chinese Classical Poems with Statistical Machine Translation Models. AAAI 2012: 1650-1656 - [c83]Xiaohua Liu, Zhongyang Fu, Furu Wei, Ming Zhou:
Collective Nominal Semantic Role Labeling for Tweets. AAAI 2012: 1685-1691 - [c82]Xiaohua Liu, Xiangyang Zhou, Zhongyang Fu, Furu Wei, Ming Zhou:
Exacting Social Events for Tweets Using a Factor Graph. AAAI 2012: 1692-1698 - [c81]Xiaohua Liu, Furu Wei, Ming Zhou:
QuickView: NLP-based Tweet Search. ACL (System Demonstrations) 2012: 13-18 - [c80]Seung-Wook Lee, Dongdong Zhang, Mu Li, Ming Zhou, Hae-Chang Rim:
Translation Model Size Reduction for Hierarchical Phrase-based Statistical Machine Translation. ACL (2) 2012: 291-295 - [c79]Shujie Liu, Chi-Ho Li, Mu Li, Ming Zhou:
Learning Translation Consensus with Structured Label Propagation. ACL (1) 2012: 302-310 - [c78]Xiaohua Liu, Ming Zhou, Xiangyang Zhou, Zhongyang Fu, Furu Wei:
Joint Inference of Named Entity Recognition and Normalization for Tweets. ACL (1) 2012: 526-535 - [c77]Xinfan Meng, Furu Wei, Xiaohua Liu, Ming Zhou, Ge Xu, Houfeng Wang:
Cross-Lingual Mixture Model for Sentiment Classification. ACL (1) 2012: 572-581 - [c76]Yajuan Duan, Furu Wei, Ming Zhou, Heung-Yeung Shum:
Graph-based collective classification for tweets. CIKM 2012: 2323-2326 - [c75]Yajuan Duan, Zhimin Chen, Furu Wei, Ming Zhou, Heung-Yeung Shum:
Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality. COLING 2012: 763-780 - [c74]Xinfan Meng, Furu Wei, Ge Xu, Longkai Zhang, Xiaohua Liu, Ming Zhou, Houfeng Wang:
Lost in Translations? Building Sentiment Lexicons using Context Based Machine Translation. COLING (Posters) 2012: 829-838 - [c73]Xiaohua Liu, Yitong Li, Furu Wei, Ming Zhou:
Graph-Based Multi-Tweet Summarization using Social Signals. COLING 2012: 1699-1714 - [c72]Nan Duan, Mu Li, Ming Zhou:
Forced Derivation Tree based Model Training to Statistical Machine Translation. EMNLP-CoNLL 2012: 445-454 - [c71]Shujie Liu, Chi-Ho Li, Mu Li, Ming Zhou:
Re-training Monolingual Parser Bilingually for Syntactic SMT. EMNLP-CoNLL 2012: 854-862 - [c70]Xinfan Meng, Furu Wei, Xiaohua Liu, Ming Zhou, Sujian Li, Houfeng Wang:
Entity-centric topic-oriented opinion summarization in twitter. KDD 2012: 379-387 - 2011
- [c69]Xiaohua Liu, Kuan Li, Ming Zhou, Zhongyang Xiong:
Enhancing Semantic Role Labeling for Tweets Using Self-Training. AAAI 2011: 896-901 - [c68]Matthew R. Scott, Xiaohua Liu, Ming Zhou:
Engkoo: Mining the Web for Language Learning. ACL (System Demonstrations) 2011: 44-49 - [c67]Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao:
Target-dependent Twitter Sentiment Classification. ACL 2011: 151-160 - [c66]Xiaohua Liu, Shaodian Zhang, Furu Wei, Ming Zhou:
Recognizing Named Entities in Tweets. ACL 2011: 359-367 - [c65]Nan Duan, Mu Li, Ming Zhou:
Hypothesis Mixture Decoding for Statistical Machine Translation. ACL 2011: 1258-1267 - [c64]Xiaohua Liu, Bo Han, Ming Zhou:
Correcting Verb Selection Errors for ESL with the Perceptron. CICLing (2) 2011: 411-423 - [c63]Xiaolong Wang, Furu Wei, Xiaohua Liu, Ming Zhou, Ming Zhang:
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach. CIKM 2011: 1031-1040 - [c62]Jinhan Kim, Long Jiang, Seung-won Hwang, Young-In Song, Ming Zhou:
Mining entity translations from comparable corpora: a holistic graph mapping approach. CIKM 2011: 1295-1304 - [c61]Xiaohua Liu, Ming Zhou:
Sentence-Level Sentiment Analysis via Sequence Modeling. ICAIC (3) 2011: 337-343 - [c60]Xiaohua Liu, Kuan Li, Ming Zhou, Zhongyang Xiong:
Collective Semantic Role Labeling for Tweets with Clustering. IJCAI 2011: 1832-1837 - [c59]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. KDD 2011: 1397-1405 - [c58]Shujie Liu, Chi-Ho Li, Ming Zhou:
Statistic Machine Translation Boosted with Spurious Word Deletion. MTSummit 2011 - [c57]Shujie Liu, Chi-Ho Li, Ming Zhou:
A Unified SMT Framework Combining MIRA and MERT. MTSummit 2011 - [c56]Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou:
Function Word Generation in Statistical Machine Translation Systems. MTSummit 2011 - [c55]Nan Duan, Mu Li, Ming Zhou, Lei Cui:
Improving Phrase Extraction via MBR Phrase Scoring and Pruning. MTSummit 2011 - [c54]Xiaohua Liu, Long Jiang, Furu Wei, Ming Zhou:
QuickView: advanced search of tweets. SIGIR 2011: 1275-1276 - [c53]Duo Ding, Xingping Jiang, Matthew R. Scott, Ming Zhou, Yong Yu:
Tulsa: web search for writing assistance. SIGIR 2011: 1287-1288 - [i1]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. CoRR abs/1109.6018 (2011) - 2010
- [j6]Xiaohua Liu, Ming Zhou:
Evaluating the Quality of Web-Mined Bilingual Sentence Pairs. Int. J. Asian Lang. Process. 20(4): 171-179 (2010) - [j5]Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Kam-Fai Wong, Hsiao-Wuen Hon:
Exploiting query logs for cross-lingual query suggestions. ACM Trans. Inf. Syst. 28(2): 6:1-6:33 (2010) - [c52]Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou, Tiejun Zhao:
A Joint Rule Selection Model for Hierarchical Phrase-Based Translation. ACL (2) 2010: 6-11 - [c51]Shujie Liu, Chi-Ho Li, Ming Zhou:
Discriminative Pruning for Discriminative ITG Alignment. ACL 2010: 316-324 - [c50]Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou, Tiejun Zhao:
Hybrid Decoding: Decoding with Partial Hypotheses Combination over Multiple SMT Systems. COLING (Posters) 2010: 214-222 - [c49]Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, Heung-Yeung Shum:
An Empirical Study on Learning to Rank of Tweets. COLING 2010: 295-303 - [c48]Nan Duan, Hong Sun, Ming Zhou:
Translation Model Generalization using Probability Averaging for Machine Translation. COLING 2010: 304-312 - [c47]Nan Duan, Mu Li, Dongdong Zhang, Ming Zhou:
Mixture Model-based Minimum Bayes Risk Decoding using Multiple Machine Translation Systems. COLING 2010: 313-321 - [c46]Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim:
An Empirical Study on Web Mining of Parallel Data. COLING 2010: 474-482 - [c45]Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou:
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation. COLING 2010: 662-670 - [c44]Xiaohua Liu, Kuan Li, Bo Han, Ming Zhou, Long Jiang, Zhongyang Xiong, Changning Huang:
Semantic Role Labeling for News Tweets. COLING 2010: 698-706 - [c43]Xiaohua Liu, Kuan Li, Bo Han, Ming Zhou, Long Jiang, Daniel Tse, Zhongyang Xiong:
Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy. COLING (Posters) 2010: 725-729 - [c42]Shujie Liu, Chi-Ho Li, Ming Zhou:
Improved Discriminative ITG Alignment using Hierarchical Phrase Pairs and Semi-supervised Training. COLING (Posters) 2010: 730-738 - [c41]Xiaohua Liu, Bo Han, Kuan Li, Stephan Hyeonjun Stiller, Ming Zhou:
SRL-Based Verb Selection for ESL. EMNLP 2010: 1068-1076 - [c40]Xiaohua Liu, Ming Zhou:
Evaluating the Quality of Web-Mined Bilingual Sentences Using Multiple Linguistic Features. IALP 2010: 281-284
2000 – 2009
- 2009
- [c39]Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Zhou:
Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders. ACL/IJCNLP 2009: 585-592 - [c38]Long Jiang, Shiquan Yang, Ming Zhou, Xiaohua Liu, Qingsheng Zhu:
Mining Bilingual Data from the Web with Adaptively Learnt Patterns. ACL/IJCNLP 2009: 870-878 - [c37]Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong:
Exploiting Bilingual Information to Improve Web Search. ACL/IJCNLP 2009: 1075-1083 - [c36]Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong:
Joint Ranking for Multilingual Web Search. ECIR 2009: 114-125 - [c35]Tong Xiao, Mu Li, Dongdong Zhang, Jingbo Zhu, Ming Zhou:
Better Synchronous Binarization for Machine Translation. EMNLP 2009: 362-370 - [c34]Nan Duan, Mu Li, Tong Xiao, Ming Zhou:
The Feature Subspace Method for SMT System Combination. EMNLP 2009: 1096-1104 - [c33]Ming Zhou, Long Jiang, Jing He:
Generating Chinese Couplets and Quatrain Using a Statistical Approach. PACLIC 2009: 43-52 - 2008
- [c32]Dongdong Zhang, Mu Li, Nan Duan, Chi-Ho Li, Ming Zhou:
Measure Word Generation for English-Chinese SMT Systems. ACL 2008: 89-96 - [c31]Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng Li:
Combining Multiple Resources to Improve SMT-based Paraphrasing Model. ACL 2008: 1021-1029 - [c30]Wei Gao, John Blitzer, Ming Zhou:
Using English information in non-English web search. CIKM-iNEWS 2008: 17-24 - [c29]Long Jiang, Ming Zhou:
Generating Chinese Couplets using a Statistical MT Approach. COLING 2008: 377-384 - [c28]Ming Zhou, Bo Wang, Shujie Liu, Mu Li, Dongdong Zhang, Tiejun Zhao:
Diagnostic Evaluation of Machine Translation Systems Using Automatically Constructed Linguistic Check-Points. COLING 2008: 1121-1128 - [c27]Chi-Ho Li, Hailei Zhang, Dongdong Zhang, Mu Li, Ming Zhou:
An Empirical Study in Source Word Deletion for Phrase-Based Statistical Machine Translation. WMT@ACL 2008: 1-8 - 2007
- [c26]Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, Ming Zhou:
Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences. AAAI 2007: 925-930 - [c25]Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li, Ming Zhou, Yi Guan:
A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation. ACL 2007 - [c24]Guihua Sun, Xiaohua Liu, Gao Cong, Ming Zhou, Zhongyang Xiong, John Lee, Chin-Yew Lin:
Detecting Erroneous Sentences using Automatically Mined Sequential Patterns. ACL 2007 - [c23]Qing Chen, Mu Li, Ming Zhou:
Improving Query Spelling Correction Using Web Search Results. EMNLP-CoNLL 2007: 181-189 - [c22]Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou:
Phrase Reordering Model Integrating Syntactic Knowledge for SMT. EMNLP-CoNLL 2007: 533-540 - [c21]Long Jiang, Ming Zhou, Lee-Feng Chien, Cheng Niu:
Named Entity Translation with Web Mining and Transliteration. IJCAI 2007: 1629-1634 - [c20]Shiqi Zhao, Ming Zhou, Ting Liu:
Learning Question Paraphrases for QA from Encarta Logs. IJCAI 2007: 1795-1801 - [c19]John Lee, Ming Zhou, Xiaohua Liu:
Detection of Non-Native Sentences Using Machine-Translated Training Data. HLT-NAACL (Short Papers) 2007: 93-96 - [c18]Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, Kam-Fai Wong, Hsiao-Wuen Hon:
Cross-lingual query suggestion using query logs of different languages. SIGIR 2007: 463-470 - 2006
- [j4]Jianfeng Gao, Jian-Yun Nie, Ming Zhou:
Statistical query translation models for cross-language information retrieval. ACM Trans. Asian Lang. Inf. Process. 5(4): 323-359 (2006) - [c17]Yi Chen, Ming Zhou, Shilong Wang:
Reranking Answers for Definitional QA Using Language Modeling. ACL 2006 - [c16]Mu Li, Muhua Zhu, Yang Zhang, Ming Zhou:
Exploring Distributional Similarity Based Models for Query Spelling Correction. ACL 2006 - [c15]Lei Shi, Cheng Niu, Ming Zhou, Jianfeng Gao:
A DOM Tree Alignment Model for Mining Parallel Data from the Web. ACL 2006 - 2005
- [c14]Kun Yu, Gang Guan, Ming Zhou:
Resume Information Extraction with Cascaded Hybrid Model. ACL 2005: 499-506 - [e1]Sung-Hyon Myaeng, Ming Zhou, Kam-Fai Wong, HongJiang Zhang:
Information Retrieval Technology, Asia Information Retrieval Symposium, AIRS 2004, Beijing, China, October 18-20, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3411, Springer 2005, ISBN 3-540-25065-4 [contents] - 2004
- [c13]Yajuan Lü, Ming Zhou:
Collocation Translation Acquisition Using Monolingual Corpora. ACL 2004: 167-174 - [c12]Donghui Feng, Yajuan Lü, Ming Zhou:
A New Approach for English-Chinese Named Entity Alignment. EMNLP 2004: 372-379 - 2003
- [j3]Jian Sun, Ming Zhou, Jianfeng Gao:
A Class-based Language Model Approach to Chinese Named Entity Identification. Int. J. Comput. Linguistics Chin. Lang. Process. 8(2) (2003) - [c11]Hua Wu, Ming Zhou:
Synonymous Collocation Extraction Using Translation Information. ACL 2003: 120-127 - [c10]Hua Wu, Ming Zhou:
Optimizing Synonym Extraction Using Monolingual and Bilingual Resources. IWP@ACL 2003: 72-79 - 2002
- [c9]Jian Sun, Jianfeng Gao, Lei Zhang, Ming Zhou, Changning Huang:
Chinese Named Entity Identification Using Class-based Language Model. COLING 2002 - [c8]Jian-Min Yao, Ming Zhou, Tiejun Zhao, Hao Yu, Sheng Li:
An Automatic Evaluation Method for Localization Oriented Lexicalised EBMT System. COLING 2002 - [c7]Jianfeng Gao, Ming Zhou, Jian-Yun Nie, Hongzhao He, Weijun Chen:
Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations. SIGIR 2002: 183-190 - 2001
- [j2]Yajuan Lü, Ming Zhou, Sheng Li, Changning Huang, Tiejun Zhao:
Automatic Translation Template Acquisition Based on Bilingual Structure Alignment. Int. J. Comput. Linguistics Chin. Lang. Process. 6(1) (2001) - [j1]Jian Zhang, Jianfeng Gao, Ming Zhou, Jiaxing Wang:
Improving the Effectiveness of Information Retrieval with Clustering and Fusion. Int. J. Comput. Linguistics Chin. Lang. Process. 6(1) (2001) - [c6]Jianfeng Gao, Endong Xun, Ming Zhou, Changning Huang, Jian-Yun Nie, Jian Zhang:
Improving Query Translation for Cross-Language Information Retrieval Using Statistical Models. SIGIR 2001: 96-104 - 2000
- [c5]Endong Xun, Changning Huang, Ming Zhou:
A Unified Statistical Model for the Identification of English BaseNP. ACL 2000: 109-116 - [c4]Ting Liu, Ming Zhou, Jianfeng Gao, Endong Xun, Changning Huang:
PENS: A Machine-aided English Writing System for Chinese Users. ACL 2000: 529-536 - [c3]Jian-Yun Nie, Jianfeng Gao, Jian Zhang, Ming Zhou:
On the use of words and n-grams for Chinese information retrieval. IRAL 2000: 141-148 - [c2]Jianfeng Gao, Jian-Yun Nie, Jian Zhang, Endong Xun, Yi Su, Ming Zhou, Changning Huang:
TREC-9 CLIR Experiments at MSRCN. TREC 2000
1990 – 1999
- 1995
- [c1]Wenjie Li, Haihua Pan, Ming Zhou, Kam-Fai Wong, Vincent Y. Lum:
Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese. ROCLING (1) 1995: 137-153
Coauthor Index
[c277] [j35] [j34] [j30] [j29] [c276] [c275] [c274] [c273] [c271] [c270] [i117] [i116] [i115] [i114] [i112] [c269] [c268] [c266] [c265] [c262] [c261] [c258] [c257] [c254] [c253] [c252] [i111] [i109] [i108] [i107] [i105] [i104] [j26] [c243] [c241] [c240] [c239] [c238] [c234] [c232] [c229] [c228] [c226] [c225] [c224] [c214] [c212] [i102] [i100] [i98] [i97] [i94] [i93] [i89] [i87] [i85] [i83] [i82] [i81] [i78] [i75] [i73] [i71] [i69] [i68] [i67] [j24] [c208] [c204] [c201] [c200] [c199] [c197] [c193] [i65] [i61] [i60] [i59] [i57] [i56] [j22] [j19] [c190] [c187] [c185] [c179] [c177] [c171] [c169] [c167] [i50] [i47] [i43] [i42] [i34] [i29] [c161] [c152] [c148] [i21] [i20] [c141] [c138] [c132] [c124] [c111] [c102] [c95] [c87] [c72] [c65] [c55] [c48] [c47] [c39] [c34] [c32]
[c210] [j20] [c192] [c186] [c180] [c168] [c163] [i49] [i48] [i44] [i36] [i31] [i30] [c157] [c155] [c151] [i18] [c142] [c137] [i15] [j13] [c121] [c119] [i7] [j10] [c117] [c115] [c113] [c112] [c110] [c105] [c96] [c94] [c93] [c89] [c88] [c86] [c80] [c79] [c72] [c71] [c65] [c56] [c55] [c52] [c50] [c47] [c45] [c39] [c35] [c34] [c32] [c28] [c27] [c25] [c23] [c22] [c16]
[c267] [c264] [c260] [c259] [c258] [c254] [i111] [i103] [j26] [c251] [c249] [c248] [c247] [c244] [c219] [c218] [c217] [i88] [i86] [i80] [i76] [i75] [i74] [c211] [c210] [c202] [i66] [i58] [i54] [i52] [c192] [c187] [c186] [c180] [c169] [c168] [c163] [i50] [i49] [i48] [i44] [i36] [i31] [i30] [i27] [c155] [c151] [c149] [i18] [c142] [c137] [i15] [j14] [j13] [c121] [c119] [i7] [j10] [c115] [c113] [c112] [c110] [i2] [c96] [c94] [c93] [c89] [c88] [c86] [c79] [c71] [c58] [c57] [c51] [c42] [c28]
[c276] [c271] [c268] [c266] [c262] [c258] [c254] [i111] [i109] [i108] [i107] [j26] [c241] [c240] [c239] [c234] [c232] [c228] [c226] [i100] [i97] [i89] [i87] [i85] [i83] [i82] [i78] [i75] [i74] [i71] [j24] [c208] [c201] [c197] [c193] [i61] [i56] [c190] [c187] [c185] [c177] [c169] [c167] [i50] [i47] [i42] [i34] [i29] [c152] [i21] [i20] [j16] [j12] [c114] [c109] [c106] [c103] [c100]
[c267] [c264] [c260] [c256] [i103] [j27] [c237] [c236] [c235] [c233] [c231] [c230] [c227] [c223] [c222] [c221] [c220] [c216] [c215] [c213] [i101] [i99] [i96] [i95] [i92] [i91] [i90] [i84] [i79] [i77] [i72] [i70] [c209] [c207] [c206] [c205] [c203] [c198] [c196] [c194] [i64] [i63] [i62] [i55] [i53] [i51] [j21] [c191] [c188] [c184] [c182] [c181] [c178] [c176] [c175] [c173] [c172] [c170] [c166] [c165] [i45] [i41] [i40] [i39] [i38] [i37] [i35] [i33] [i32] [i28] [i26] [c160] [c159] [c156] [c154] [c153] [c147] [i24] [i23] [i22] [i19] [j17] [j16] [c144] [c140] [c134] [c133] [i13] [j15] [j14] [j12] [c129] [c128] [c127] [c125] [c123] [c122] [c120] [c118] [i6] [i5] [i4] [c116] [c114] [c109] [c107] [c106] [c103] [c101] [c100] [i2] [j8] [c98] [c97] [c92] [c83] [c82] [c81] [c78] [c77] [c76] [c75] [c74] [c73] [c70] [c66] [c63] [c54]
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