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Dr. Ming Zhou

Founder/CEO, Langboat Ltd

Found Langboat
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Dr. Ming Zhou founded Langboat.com in June 2021. As a start-up company, Langboat is developing the next generation of cognitive intelligence to provide technologies of understanding and generation of natural language and multi-modality information, machine translation, knowledge graph, QA and reasoning, industrial search, all based on the state-of-the-art pre-trained models developed by this company which ever led on Chinese NLP leaderboard CLUE in 2021.

Dr. Zhou is a world leading NLP scientist and a pioneer in Chinese NLP. Before joining Sinovation Ventures in the end of 2020, Dr. Zhou was the Assistant Managing Director at Microsoft Research Asia (MSRA). He was president of Association of Computational Linguistics (ACL) in 2019. He is vice president of China Computer Federation (CCF) and steering committee member of Chinese Information Processing Society of China(CIPS). He is a doctorial advisor in Harbin Institute of Technology, Tianjin University, Nankai University, Beihang University, University of Science and Technology of China. He has advised 20 PhD students, 20 post-docs and his team at MSRA has mentored 600 interns from top universities from China, US, Japan, Singapore, South Korea, Canada in over 20+ years.

During his 21 years tenure(1999-2020) at MSRA, Dr. Ming Zhou led the NLP research efforts across natural language understanding, text generation, machine translation, search engine, recommendation engine, and pretrained models that were applied across many Microsoft products. Dr. Zhou managed the development of MS Chinese and Japanese input systems(MS-IME), Bing Dictionary, MS Chinese-English translation systems, as well as the world’s first Chinese couplet AI generator. His team developed the chatbot engine for MS Xiaoice, a popular chatbot in China. He was the winner of WSJ Asia Innovation Award in 2010 and the winner of the World Internet Leading Innovation Award(2019, Wuzhen Internet Conference). He became the managing director of Microsoft Research Asia in 2018.

Dr. Ming Zhou published over 260 papers in top conferences and journals including ACL (about 100 papers), NeurIPS, AAAI, AAAI, IJCAI, EMNLP, COLING, SIGKDD, SIGIR, and Computational Linguistics being the most prolific NLP researcher in the world. He has authored over 50 global patents, and scores 97 in terms of Google Scholar H-index, which makes him being ranked about 500 in CS field in the world. During 2000-2008, he was the co-director of China Ministry of Education Key Lab on NLP and Speech at Harbin Institute of Technology. During 2008-2020, he was the co-director of China Ministry of Education Key Lab on Media and Network at Tsinghua University, both labs closely collaborated with MSRA.

Dr. Zhou graduated from Chongqing University in 1985, obtained PhD. Degree from Harbin Institute of Technology in 1991, both on computer science and technology. From 1991-1999, he was a post-doctoral researcher and faculty in Tsinghua University. He visited Kodensha (Japan) during 1996-1999 to lead machine translation products. Before he joined Microsoft Research in 1999, he was the inventor of China’s first Chinese-English machine translation system (CEMT, developed in 1989) and Japan’s most popular machine translation product between Chinese-Japanese (J-Beijing). He was on ACL exec member during 2017-2020, ACL president in 2019, ACL nominating committee member (2020-2022), chair of CCF-NLP (CCF’s NLP committee) during 2016-2019, and vice-president of China Computer Federation (CCF) during 2019-2023.

Academic Services
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  1. Chair of Asian language NLP area of ACL 2000
  2. Area chair of ACL 2003
  3. Programming Committee chair of AIRS 2004
  4. Chair of Interactive Demo/Poster of IJCNLP 2004
  5. Area chair of IJCNLP 2005
  6. Area chair of EMNLP/HLT 2005
  7. Area chair of NAACL/HLT 2006
  8. Area chair of COLING-ACL2006
  9. Area chair of IJCAI 2007
  10. Workshop chair of ACL 2008
  11. Publicity chair of SIGIR 2009
  12. Program member of CIKM 2004 and CIKM 2005, MT Summit 2004 and MT Summit 2005, AMTA 2002, SIGHAN 2005, SIGHAN 2006, AIRS 2005, AIRS 2006.
  13. Area chair of COLING 2010
  14. Area chair of SIGIR 2012 and SIGIR 2013
  15. PC chair of CCF NLP&CC 2012 and general chair of NLP&CC 2013
  16. Director of CCF-NLP 2016-2019
  17. President of ACL in 2019
  18. PC Chair of CNCC-2019
  19. Vice-president of CCF in 2020

Research Experiences
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“Mengzi” Cognitive Computing Platform (2021-), Founder of Langboat

As founder of Langboat company, he leads the “Mengzi” cognitive computing platform including a lightweight pre-trained model “Mengzi” that beats huge models from giant companies in CLUE leaderboard (Chinese GLUE) with 10 NLP tasks including machine reading comprehension, inference, entailment, classification, etc., new generation of machine translation, text generation and search system. He won the first prize at Beijing International Innovation and Entrepreneurs Competition in 2021, which is the most prestigious competition of this kind in China. The Langboat machine translation systems translate between Chinese and 15 languages with 11 languages outperforms Google machine translation systems. The Langboat copywriter generation system produces coherent and consistent text with superior quality than GPT models and other models. The Langboat market intelligence search and research system that incorporates advanced technologies of information retrieval, information extraction, machine reading, summarization, sentiment analysis, all based on “Mengzi” pre-trained models, provides high quality of search and powerful research capabilities that can improve the productivity of market analysists.

Pre-trained models (2018-2021), director of MSRA NLC Group

He leads MSRA NLC Group to develop the cutting-edge technologies of pre-trained models for languages, multi-languages and cross-modalities, and use these models to develop new generation of language understanding, text generation, machine translation, image understanding, image generation, document understanding, ASR and TTS with largely improved quality. Among them, UniLM incorporating the language understanding and generation into one pre-trained model is very influential in research community, and won the Internet Leading Technology Award in China in 2018.

Chatbot engine for MS Xiaoice(2015-2019), director of MSRA NLC Group

He leads MSRA NLC Group to develop the chatbot engine to support Xiaoice chatbot product released in China, Japan and US. The chatbot engine uses hybrid models of retrieval-based approach and generation-based approaches and reaches SOTA quality with 21.6 rounds of natural conversation, having been widely recognized as then SOTA of chatbot engines. In addition to the chatbot engines, his group also developed the poetry generation and news recommendation for Xiaoice.

**Microsoft Sign Language Interpreter (2012–2013), Director, Natural Language Computing Group (MSRA-NLC) at Microsoft Research Asia. **

He proposed to use Microsoft Kinect to realize sign language translation, and then he invited Prof. Chen Xilin at Institute of Computer Technology, whose research group has been working on sign language recognition using cameras or data gloves. We worked together to complete a sign language translation system based on Kinect and Chinese-English translation capabilities to enable translation between sign language, Chinese and English. At the 2012 Microsoft All-hand meeting in Seattle, Microsoft CEO Ballmer (speaking English) and a deaf student from Beijing Union University (speaking sign language) made dialogues through this system to achieve automatic translation of English and sign language, won the big applause of the audience. This innovation later obtained the “Ability Award” issued by Satya Nadella, the CEO of Microsoft after Ballmer.

Engkoo Dictionary and Bing Dictionary(2010-2012), director of MSRA NLC Group

He leads MSRA NLC Group to develop the Engkoo English learning search engine which features example sentences, machine translation, speller, TTS. Engkoo won the innovation award by WSJ Asia and became MS Bing Dictionary Product in 2012. It is the most popular product that MS released in China.

Machine translation (2005-2020), director of MSRA NLC Group

He leads MSRA NLC Group to develop statistical machine translation systems and neural machine translation systems between Chinese and English and other languages, which is an integral part of the MS Translator product. The Chinese-English translation system reaches human parity in news translation.

MS couplet generator(2005-2007),director of MSRA NLC Group

He designed a creative computer couplet generator, using the approach of statistical machine translation, generates the second sentence for a given first sentence, also the banner can be generated given the two sentences. MS couplet generator was demonstrated for three consecutive times at MS 21 Century Computing Conference, in 2005, 2006 and 2007, with quality being improved every time. It was reported by CCTV and newspapers many times. MS couplet generator represents the highest level of exploration by MSRA on using big data to create AI system. Later, computer classic poetry generator and riddle generation and solving systems. All these innovations form the systematic research on AI for language games.

IME, English writing assistant, cross-lingual information retrieval (1999-2005), researcher and director of MSRA NLC Group

He leads projects of IME, English writing assistant and cross-lingual information retrieval which had transferred to MS products (Windows and Office). The cross-language information retrieval obtained top ranking in TREC-9 CLIR track and NTCIR-III CLIR track.

Chinese-Japanese machine translation product, director of Chinese machine translation, Kodensha, Japan (1996-1999)

He led a team in Kodensha Ltd. Co. of Japan to develop Chinese-Japanese machine translation product, J-Beijing. These two software products have been at top in C-J and J-C MT market in Japan since they were released in 1998 and 1999 respectively. J-Beijing was part of J-Server, a machine translation service among multiple languages, obtained “Nagao” award in Japan.

Chinese dependency relation tagging and Chinese speller, research fellow at City University of Hong Kong (June 1996-Sept. 1996)

He uses a statistical approach for dependency relation extraction and speller.

**Chinese noun phrase extraction, research associate at Chinese University of Hong Kong (Feb. 1995-May 1995) **

He joined a team to develop a statistical-based approach for Chinese noun phrase extraction.

Chinese-English machine translation and Chinese dependency parser, post-doc and associate research professor at Tsinghua University (1991-1999)

He led a joint team from Tsinghua University and Harbin Institute of Technology to develop “DEAR” English writing assistant system supported by bilingual sentence example search, online dictionaries and rule-based translation.

CEMT Chinese-English machine translation system, master and PhD student at Harbin Institute of Technology (1985-1991)

CEMT system, developed by him with thousands rules he created for Chinese syntactic analysis, Chinese-English transformation and English generation, was the first Chinese-English machine translation system in China.

Education
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  • Sept. 1988-Nov.1991
    • Ph.D. in computer science from Harbin Institute of Technology
    • Thesis: Chinese-English machine translation
  • Sept. 1985-July 1988
    • M.S. degree in computer science from Harbin Institute of Technology
    • Thesis: Chinese-English machine translation
  • Sept. 1981-July1985
    • B.S. degree in computer engineering from Chongqing University.
    • Thesis: Digital number recognition

Patents
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50 U.S. patents granted

Awards
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  1. 2021 First prize of Beijing HICOOL International Competition on Innovation and Entrepreneurs with RMB 2 million award
  2. 2019 Wuzhen Internet leading award for pre-trained models and machine reading comprehension
  3. 2018 Beijing “Capital Workers Medal”, the highest government award for recognition of outstanding workers issued at “May 1st International Workers Day”.
  4. 2012 WSJ Asian Innovation Award for Engkoo English learning search engine
  5. 2013 MS “Ability Award” for Kinect sign language translator
  6. 2008 MSRA 10th anniversary best innovation awards for Chinese couplets
  7. 2008 MSRA 10th anniversary best innovation awards for MS IME for Chinese and Japanese
  8. 1995 Second prize, Technology Advancements, Ministry of Aerospace of China for DEAR English Writing Assistant system
  9. 1991 Second prize, Technology Advancements, Ministry of Aerospace of China for CEMT machine translation system
  10. 1990 Shi-San-Lin top student award (10 students a year at Harbin Institute of Technology)

Books and Chapters
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  1. Machine Translation, High Education Press, 2019
  2. Intelligent Question-Answering, High Education Press, 2019
  3. Natural Language Understanding, a chapter of the book “Introduction of Artificial Intelligence”, Science Press, 2019

Publications
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  1. Wang, Siyuan; Zhong, Wanjun; Tang, Duyu; Wei, Zhongyu; Fan, Zhihao, Jiang, Daxin; Zhou, Ming;Duan, Nan, Logic-Driven Context Extensionand Data Augmentation for Logical Reasoning of Text, ACL, 2022
  2. Guo, Daya; Lu, Shuai; Duan, Nan; Wang, Yanlin; Zhou, Ming; Yin, Jian; UniXcoder: Unified Cross-Modal Pre-training for Code Representation, ACL, 2022
  3. Zhong, Wanjun; Gao, Yifan; Ding, Ning; Qin, Yujia; Liu, Zhiyuan; Zhou, Ming; Wang, Jiahai; Yin, Jian; Duan, Nan, ProQA: Structural Prompt-based Pre-training for Unified Question Answering, NAACL, 2022
  4. Zhong, Wanjun; Wang, Siyuan; Tang, Duyu; Xu, Zenan; Guo, Daya; Wang, Jiahai; Yin, Jian; Zhou, Ming; Duan, Nan, Analytical Reasoning of Text, NAACL, 2022
  5. Jiang, Yuchen; Ma, Shuming; Zhang, Dongdong; Yang, Jian; Huang, Haoyang; Zhou, Ming, BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation, NAACL, 2022
  6. Liu, Qian; Zhou, Ming; Wang, Jiahai; Yin, Jian; Duan,  Nan , Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering, IJCAI-ECAI 2022
  7. Wang, Siyuan; Liu, Zhongkun; Zhong, Wanjun; Zhou, Ming; Wei, Zhongyu; Chen, Zhumin; Duan, Nan; From lsat: The progress and challenges of complex reasoning IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022
  8. Xia, Qiaolin; Huang, Haoyang; Duan, Nan; Zhang, Dongdong; Ji, Lei; Sui, Zhifang; Cui, Edward; Bharti, Taroon; Zhou, Ming; Xgpt: Cross-modal generative pre-training for image captioning , CCF International Conference on Natural Language Processing and Chinese Computing, 2021
  9. Yang, Tianchi; Hu, Linmei; Zhang, Luhao; Shi, Chuan; Yang, Cheng; Duan, Nan; Zhou, Ming; Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction, Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2021
  10. 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, International Conference on Machine Learning, 2021
  11. Chen, Sanyuan; Wu, Yu; Chen, Zhuo; Wu, Jian; Li, Jinyu; Yoshioka, Takuya; Wang, Chengyi; Liu, Shujie; Zhou, Ming; Continuous speech separation with conformer, ICASSP 2021-2021, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
  12. Zhao, Jian; Qi, Weizhen; Zhou, Wengang; Nan, Duan; Zhou, Ming; Li, Houqiang; Conditional Sentence Generation and Cross-modal Reranking for Sign Language Translation, IEEE Transactions on Multimedia, 2021
  13. Tang, Yu; Zhou, Long; Blanco, Ambrosio; Liu, Shujie; Wei, Furu; Zhou, Ming; Yang, Muyun; Grammar-based patches generation for automated program repair Findings of the Association for Computational Linguistics: ACL-IJCNLP, 2021
  14. Yan, Kun; Ji, Lei; Luo, Huaishao; Zhou, Ming; Duan, Nan; Ma, Shuai; Control Image Captioning Spatially and Temporally, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) , 2021
  15. Hu, Linmei; Yang, Tianchi; Zhang, Luhao; Zhong, Wanjun; Tang, Duyu; Shi, Chuan; Duan, Nan; Zhou, Ming; Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
  16. Ren, Shuo; Zhou, Long; Liu, Shujie; Wei, Furu; Zhou, Ming; Ma, Shuai; Semface: Pre-training encoder and decoder with a semantic interface for neural machine translation, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
  17. Yang, Jian; Ma, Shuming; Zhang, Dongdong; Wan, Juncheng; Li, Zhoujun; Zhou, Ming; Smart-start decoding for neural machine translation Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
  18. Zhang, Zhuosheng; Zhang, Hanqing; Chen, Keming; Guo, Yuhang; Hua, Jingyun; Wang, Yulong; Zhou, Ming; Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese, arXiv preprint arXiv:2110.06696, 2021
  19. Qi, Weizhen; Gong, Yeyun; Yan, Yu; Jiao, Jian; Shao, Bo; Zhang, Ruofei; Li, Houqiang; Duan, Nan; Zhou, Ming; ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine, CCF International Conference on Natural Language Processing and Chinese Computing, 2020
  20. Bao, Hangbo; Dong, Li; Wei, Furu; Wang, Wenhui; Yang, Nan; Liu, Xiaodong; Wang, Yu; Gao, Jianfeng; Piao, Songhao; Zhou, Ming; Unilmv2: Pseudo-masked language models for unified language model pre-training International Conference on Machine Learning, 2020
  21. Zhou, Qingyu; Yang, Nan; Wei, Furu; Huang, Shaohan; Zhou, Ming; Zhao, Tiejun; A joint sentence scoring and selection framework for neural extractive document summarization, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020
  22. Zhou, Ming; Duan, Nan; Liu, Shujie; Shum, Heung-Yeung; Progress in neural NLP: modeling, learning, and reasoning, Engineering, Vol 6, Num 3, 275-290, 2020
  23. Li, Gen; Duan, Nan; Fang, Yuejian; Gong, Ming; Jiang, Daxin; Unicoder-VL: A universal encoder for vision and language by cross-modal pre-training, Proceedings of the AAAI Conference on Artificial Intelligence, 2020
  24. Wang, Chengyi; Wu, Yu; Liu, Shujie; Yang, Zhenglu; Zhou, Ming; Bridging the gap between pre-training and fine-tuning for end-to-end speech translation, Proceedings of the AAAI Conference on Artificial Intelligence, 2020
  25. Li, Minghao; Cui, Lei; Huang, Shaohan; Wei, Furu; Zhou, Ming; Li, Zhoujun; Tablebank: Table benchmark for image-based table detection and recognition, Proceedings of The 12th language resources and evaluation conference, 2020
  26. Xu, Yiheng; Li, Minghao; Cui, Lei; Huang, Shaohan; Wei, Furu; Zhou, Ming; Layoutlm: Pre-training of text and layout for document image understanding, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
  27. Wang, Wenhui; Wei, Furu; Dong, Li; Bao, Hangbo; Yang, Nan; Zhou, Ming; Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers, Advances in Neural Information Processing Systems, 2020
  28. Wu, Fangzhao; Qiao, Ying; Chen, Jiun-Hung; Wu, Chuhan; Qi, Tao; Lian, Jianxun; Liu, Danyang; Xie, Xing; Gao, Jianfeng; Wu, Winnie; Zhou, Ming; Mind: A large-scale dataset for news recommendation, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
  29. Yang, Jian; Ma, Shuming; Zhang, Dongdong; Wu, Shuangzhi; Li, Zhoujun; Zhou, Ming; Alternating language modeling for cross-lingual pre-training, Proceedings of the AAAI Conference on Artificial Intelligence, 2020
  30. Ma, Shuming; Zhang, Dongdong; Zhou, Ming; A simple and effective unified encoder for document-level machine translation, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
  31. Yang, Jian; Ma, Shuming; Zhang, Dongdong; Li, Zhoujun; Zhou, Ming; Improving neural machine translation with soft template prediction, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
  32. Ren, Shuo; Wu, Yu; Liu, Shujie; Zhou, Ming; Ma, Shuai; A retrieve-and-rewrite initialization method for unsupervised machine translation, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
  33. Hu, Linmei; Xu, Siyong; Li, Chen; Yang, Cheng; Shi, Chuan; Duan, Nan; Xie, Xing; Zhou, Ming; Graph neural news recommendation with unsupervised preference disentanglement, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
  34. Huang, Shaohan; Wei, Furu; Cui, Lei; Zhang, Xingxing; Zhou, Ming; Unsupervised fine-tuning for text clustering, Proceedings of the 28th International Conference on Computational Linguistics(COLING), 2020
  35. Ren, Shuo; Liu, Shujie; Zhou, Ming; Ma, Shuai; A graph-based coarse-to-fine method for unsupervised bilingual lexicon induction, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics,, 2020
  36. Shi, Botian; Ji, Lei; Niu, Zhendong; Duan, Nan; Zhou, Ming; Chen, Xilin; Learning semantic concepts and temporal alignment for narrated video procedural captioning, Proceedings of the 28th ACM International Conference on Multimedia, 2020
  37. Duan, Nan; Tang, Duyu; Zhou, Ming; Machine reasoning: Technology, dilemma and future, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): Tutorial
  38. Liang, Yaobo; Duan, Nan; Gong, Yeyun; Wu, Ning; Guo, Fenfei; Qi, Weizhen; Gong, Ming; Shou, Linjun; Jiang, Daxin; Cao, Guihong; XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
  39. Zhong, Wanjun; Tang, Duyu; Duan, Nan; Zhou, Ming; Wang, Jiahai; Yin, Jian; Improving question answering by commonsense-based pre-training, CCF International Conference on Natural Language Processing and Chinese Computing, 2019
  40. Bao, Hangbo; Huang, Shaohan; Wei, Furu; Cui, Lei; Wu, Yu; Tan, Chuanqi; Piao, Songhao; Zhou, Ming; Neural melody composition from lyrics, CCF International Conference on Natural Language Processing and Chinese Computing, 2019
  41. Sun, Yibo; Tang, Duyu; Xu, Jingjing; Duan, Nan; Feng, Xiaocheng; Qin, Bing; Liu, Ting; Zhou, Ming; Knowledge-aware conversational semantic parsing over web tables, CCF International Conference on Natural Language Processing and Chinese Computing, 2019
  42. Wu, Shuangzhi; Zhang, Dongdong; Zhou, Ming; Effective soft-adaptation for neural machine translation, CCF International Conference on Natural Language Processing and Chinese Computing, 2019
  43. Li, Weikang; Zhang, Xingxing; Wu, Yunfang; Wei, Furu; Zhou, Ming; Document-Based Question Answering Improves Query-Focused Multi-document Summarization, CCF International Conference on Natural Language Processing and Chinese Computing, 2019
  44. Wu, Yu; Wu, Wei; Xing, Chen; Xu, Can; Li, Zhoujun; Zhou, Ming; A sequential matching framework for multi-turn response selection in retrieval-based chatbots, Computational Linguistics, Vol 45, Num 1, 163-197, 2019
  45. Sun, Yibo; Tang, Duyu; Duan, Nan; Qin, Tao; Liu, Shujie; Yan, Zhao; Zhou, Ming; Lv, Yuanhua; Yin, Wenpeng; Feng, Xiaocheng; Joint learning of question answering and question generation, IEEE Transactions on Knowledge and Data Engineering, Vol 32, Num 5, 971-982, 2019
  46. Xu, Jingjing; Wang, Yuechen; Tang, Duyu; Duan, Nan; Yang, Pengcheng; Zeng, Qi; Zhou, Ming; Sun, Xu; Asking clarification questions in knowledge-based question answering Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019
  47. Dong, Li; Yang, Nan; Wang, Wenhui; Wei, Furu; Liu, Xiaodong; Wang, Yu; Gao, Jianfeng; Zhou, Ming; Hon, Hsiao-Wuen; Unified language model pre-training for natural language understanding and generation, Advances in Neural Information Processing Systems, 2019
  48. Shi, Botian; Ji, Lei; Liang, Yaobo; Duan, Nan; Chen, Peng; Niu, Zhendong; Zhou, Ming; Dense procedure captioning in narrated instructional videos, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
  49. Li, Naihan; Liu, Shujie; Liu, Yanqing; Zhao, Sheng; Liu, Ming Liu; Ming Zhou; Neural speech synthesis with transformer network, Proceedings of the AAAI Conference on Artificial Intelligence, 2019
  50. Ma, Xindian; Zhang, Peng; Zhang, Shuai; Duan, Nan; Hou, Yuexian; Zhou, Ming; Song, Dawei; A tensorized transformer for language modeling, Advances in Neural Information Processing Systems, 2019
  51. Zhang, Zhirui; Wu, Shuangzhi; Liu, Shujie; Li, Mu; Zhou, Ming; Xu, Tong; Regularizing neural machine translation by target-bidirectional agreement, Proceedings of the AAAI Conference on Artificial Intelligence, 2019
  52. Ren, Shuo; Zhang, Zhirui; Liu, Shujie; Zhou, Ming; Ma, Shuai; Unsupervised neural machine translation with smt as posterior regularization, Proceedings of the AAAI Conference on Artificial Intelligence, 2019
  53. Wu, Yu; Wei, Furu; Huang, Shaohan; Wang, Yunli; Li, Zhoujun; Zhou, Ming; Response generation by context-aware prototype editing, Proceedings of the AAAI Conference on Artificial Intelligence, 2019
  54. Zhou, Wangchunshu; Ge, Tao; Xu, Ke; Wei, Furu; Zhou, Ming; BERT-based lexical substitution, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
  55. Ge, Tao; Zhang, Xingxing; Wei, Furu; Zhou, Ming; Automatic grammatical error correction for sequence-to-sequence text generation: An empirical study, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
  56. Tan, Chuanqi; Wei, Furu; Zhou, Qingyu; Yang, Nan; Lv, Weifeng; Zhou, Ming; I know there is no answer: Modeling answer validation for machine reading comprehension, CCF International Conference on Natural Language Processing and Chinese Computing, 2018
  57. Zhang, Zhirui; Liu, Shujie; Li, Mu; Zhou, Ming; Chen, Enhong; Coarse-to-fine learning for neural machine translation, CCF International Conference on Natural Language Processing and Chinese Computing, 2018
  58. Yang, Jian; Wu, Shuangzhi; Zhang, Dongdong; Li, Zhoujun; Zhou, Ming; Improved neural machine translation with Chinese phonologic features, CCF International Conference on Natural Language Processing and Chinese Computing, 2018
  59. Ge, Tao; Cui, Lei; Chang, Baobao; Sui, Zhifang; Wei, Furu; Zhou, Ming; Seri: A dataset for sub-event relation inference from an encyclopedia CCF International Conference on Natural Language Processing and Chinese Computing, 2018
  60. Wu, Shuangzhi; Zhang, Dongdong; Zhang, Zhirui; Yang, Nan; Li, Mu; Zhou, Ming; Dependency-to-dependency neural machine translation IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 26, Num. 11, 2132-2141, 2018
  61. Bao, Junwei; Gong, Yeyun; Duan, Nan; Zhou, Ming; Zhao, Tiejun; Question generation with doubly adversarial nets, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 26, Num. 11, 2230-2239, 2018
  62. Bao, Junwei; Tang, Duyu; Duan, Nan; Yan, Zhao; Zhou, Ming; Zhao, Tiejun; Text generation from tables, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 27, Num. 2, 311-320, 2018
  63. Yan, Zhao; Duan, Nan; Bao, Junwei; Chen, Peng; Zhou, Ming; Li, Zhoujun; Response selection from unstructured documents for human-computer conversation systems, Knowledge-Based Systems, Vol. 142, 149-159, 2018
  64. Wu, Yu; Li, Zhoujun; Wu, Wei; Zhou, Ming; Response selection with topic clues for retrieval-based chatbots, Neurocomputing, 251-261, 2018
  65. Yan, Zhao; Tang, Duyu; Duan, Nan; Liu, Shujie; Wang, Wendi; Jiang, Daxin; Zhou, Ming; Li, Zhoujun; Assertion-based QA with question-aware open information extraction, Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 32, Num. 1, 2018
  66. Tan, Chuanqi; Wei, Furu; Wang, Wenhui; Lv, Weifeng; Zhou, Ming; Multiway Attention Networks for Modeling Sentence Pairs, IJCAI, 2018
  67. Guo, Daya; Tang, Duyu; Duan, Nan; Zhou, Ming; Yin, Jian; Dialog-to-action: Conversational question answering over a large-scale knowledge base, Advances in Neural Information Processing Systems, 2018
  68. Bao, Junwei; Tang, Duyu; Duan, Nan; Yan, Zhao; Lv, Yuanhua; Zhou, Ming; Zhao, Tiejun; Table-to-text: Describing table region with natural language, Proceedings of the AAAI conference on artificial intelligence, 2018
  69. Zhou, Ming; What Will Search Engines be Changed by NLP Advancements? Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval
  70. Ge, Tao; Cui, Lei; Chang, Baobao; Sui, Zhifang; Wei, Furu; Zhou, Ming; Eventwiki: a knowledge base of major events, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 2018
  71. Li, Yikang; Duan, Nan; Zhou, Bolei; Chu, Xiao; Ouyang, Wanli; Wang, Xiaogang; Zhou, Ming; Visual question generation as dual task of visual question answering, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
  72. Zhou, Qingyu; Yang, Nan; Wei, Furu; Zhou, Ming; Sequential copying networks, Proceedings of the AAAI Conference on Artificial Intelligence, 2018
  73. Xing, Chen; Wu, Yu; Wu, Wei; Huang, Yalou; Zhou, Ming; Hierarchical recurrent attention network for response generation, Proceedings of the AAAI Conference on Artificial Intelligence, 2018
  74. Zhang, Zhirui; Liu, Shujie; Li, Mu; Zhou, Ming; Chen, Enhong; Joint training for neural machine translation models with monolingual data, Proceedings of the AAAI Conference on Artificial Intelligence, 2018
  75. Ge, Tao; Wei, Furu; Zhou, Ming; Fluency boost learning and inference for neural grammatical error correction, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018
  76. Tang, Duyu; Duan, Nan; Yan, Zhao; Zhang, Zhirui; Sun, Yibo; Liu, Shujie; Lv, Yuanhua; Zhou, Ming; Learning to collaborate for question answering and asking, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , 2018
  77. Ge, Tao; Dou, Qing; Ji, Heng; Cui, Lei; Chang, Baobao; Sui, Zhifang; Wei, Furu; Zhou, Ming; Fine-grained coordinated cross-lingual text stream alignment for endless language knowledge acquisition, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
  78. Tan, Chuanqi; Wei, Furu; Yang, Nan; Du, Bowen; Lv, Weifeng; Zhou, Ming; S-net: From answer extraction to answer synthesis for machine reading comprehension, Proceedings of the AAAI Conference on Artificial Intelligence, 2018
  79. Lu, Pan; Ji, Lei; Zhang, Wei; Duan, Nan; Zhou, Ming; Wang, Jianyong; R-VQA: learning visual relation facts with semantic attention for visual question answering, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
  80. Wu, Yu; Wu, Wei; Yang, Dejian; Xu, Can; Li, Zhoujun; Neural response generation with dynamic vocabularies, Proceedings of the AAAI Conference on Artificial Intelligence, 2018
  81. Wu, Yu; Wu, Wei; Xu, Can; Li, Zhoujun; Knowledge enhanced hybrid neural network for text matching, Thirty-Second AAAI Conference on Artificial Intelligence, 2018
  82. Wu, Shuangzhi; Zhang, Dongdong; Liu, Shujie; Zhou, Ming; Modeling Indicative Context for Statistical Machine Translation, CCF Conference on Natural Language Processing and Chinese Computing, 2017
  83. Bao, Junwei; Duan, Nan; Zhou, Ming; Zhao, Tiejun; An Information Retrieval-Based Approach to Table-Based Question Answering, CCF Conference on Natural Language Processing and Chinese Computing, 2017
  84. Zhou, Qingyu; Yang, Nan; Wei, Furu; Tan, Chuanqi; Bao, Hangbo; Zhou, Ming; Neural question generation from text: A preliminary study, CCF Conference on Natural Language Processing and Chinese Computing, 2017
  85. Tan, Chuanqi; Wei, Furu; Zhou, Qingyu; Yang, Nan; Du, Bowen; Lv, Weifeng; Zhou, Ming; Context-aware answer sentence selection with hierarchical gated recurrent neural networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.26, Num. 3, 540-549, 2017
  86. Wang, Fang; Wu, Wei; Li, Zhoujun; Zhou, Ming; Named entity disambiguation for questions in community question answering, Knowledge-Based Systems, Vol. 126, 68-77, 2017
  87. Wang, Wenhui; Yang, Nan; Wei, Furu; Chang, Baobao; Zhou, Ming; Gated self-matching networks for reading comprehension and question answering, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 189-198, 2017
  88. Zhang, Zhirui; Liu, Shujie; Li, Mu; Zhou, Ming; Chen, Enhong; Stack-based multi-layer attention for transition-based dependency parsing, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
  89. Feng, Wenzheng; Wu, Yu; Wu, Wei; Li, Zhoujun; Zhou, Ming; Beihang-MSRA at semeval-2017 task 3: A ranking system with neural matching features for community question answering, Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017
  90. Wu, Shuangzhi; Zhou, Ming; Zhang, Dongdong; Improved Neural Machine Translation with Source Syntax, IJCAI, 2017
  91. Yan, Zhao; Duan, Nan; Chen, Peng; Zhou, Ming; Zhou, Jianshe; Li, Zhoujun; Building task-oriented dialogue systems for online shopping, Thirty-first AAAI conference on artificial intelligence, 2017
  92. Dong, Li; Huang, Shaohan; Wei, Furu; Lapata, Mirella; Zhou, Ming; Xu, Ke; Learning to generate product reviews from attributes, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017
  93. Ishiwatari, Shonosuke; Yao, Jingtao; Liu, Shujie; Li, Mu; Zhou, Ming; Yoshinaga, Naoki; Kitsuregawa, Masaru; Jia, Weijia; Chunk-based decoder for neural machine translation, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
  94. Cui, Lei; Huang, Shaohan; Wei, Furu; Tan, Chuanqi; Duan, Chaoqun; Zhou, Ming; Superagent: A customer service chatbot for e-commerce websites Proceedings of ACL 2017, system demonstrations, 2017
  95. Wu, Shuangzhi; Zhang, Dongdong; Yang, Nan; Li, Mu; Zhou, Ming; Sequence-to-dependency neural machine translation,Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
  96. Duan, Nan; Tang, Duyu; Chen, Peng; Zhou, Ming; Question generation for question answering, Proceedings of the 2017 conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
  97. Xing, Chen; Wu, Wei; Wu, Yu; Liu, Jie; Huang, Yalou; Zhou, Ming; Ma, Wei-Ying; Topic aware neural response generation, Proceedings of the AAAI Conference on Artificial Intelligence, 2017
  98. Wu, Yu; Wu, Wei; Li, Zhoujun; Zhou, Ming; Improving recommendation of tail tags for questions in community question answering, Proceedings of the AAAI Conference on Artificial Intelligence, 2016
  99. Chen, Bei; Zhu, Jun; Yang, Nan; Tian, Tian; Zhou, Ming; Zhang, Bo; Jointly modeling topics and intents with global order structure, Thirtieth AAAI Conference on Artificial Intelligence, 2016
  100. Ge, Tao; Cui, Lei; Chang, Baobao; Sui, Zhifang; Zhou, Ming; Event detection with burst information networks, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016
  101. Feng, Shi; Liu, Shujie; Yang, Nan; Li, Mu; Zhou, Ming; Zhu, Kenny; Improving attention modeling with implicit distortion and fertility for machine translation Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016
  102. Ge, Tao; Cui, Lei; Chang, Baobao; Li, Sujian; Zhou, Ming; Sui, Zhifang; News stream summarization using burst information networks, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
  103. Tan, Chuanqi; Wei, Furu; Dong, Li; Lv, Weifeng; Zhou, Ming; Solving and generating Chinese character riddles, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
  104. Shi, Chen; Liu, Shujie; Ren, Shuo; Feng, Shi; Li, Mu; Zhou, Ming; Sun, Xu; Wang, Houfeng; Knowledge-based semantic embedding for machine translation, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016
  105. Yan, Zhao; Duan, Nan; Bao, Junwei; Chen, Peng; Zhou, Ming; Li, Zhoujun; Zhou, Jianshe; Docchat: An information retrieval approach for chatbot engines using unstructured documents, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016
  106. Cao, Ziqiang; Chen, Chengyao; Li, Wenjie; Li, Sujian; Wei, Furu; Zhou, Ming; Tgsum: Build tweet guided multi-document summarization dataset, Proceedings of the AAAI Conference on Artificial Intelligence, 2016
  107. Ren, Pengjie; Wei, Furu; Chen, Zhumin; Ma, Jun; Zhou, Ming; A redundancy-aware sentence regression framework for extractive summarization Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016
  108. Zhang, Kai; Wu, Wei; Wang, Fang; Zhou, Ming; Li, Zhoujun; Learning distributed representations of data in community question answering for question retrieval, Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
  109. Bao, Junwei; Duan, Nan; Yan, Zhao; Zhou, Ming; Zhao, Tiejun; Constraint-based question answering with knowledge graph , Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016
  110. Li, Qinglin; Liu, Shujie; Lin, Rui; Li, Mu; Zhou, Ming; Entity Translation with Collective Inference in Knowledge Graph,Natural Language Processing and Chinese Computing, 2015
  111. Zhao, Zhou; Wei, Furu; Zhou, Ming; Ng, Wilfred; Cold-start expert finding in community question answering via graph regularization, International conference on database systems for advanced applications, 2015
  112. Dong, Li; Wei, Furu; Liu, Shujie; Zhou, Ming; Xu, Ke; A statistical parsing framework for sentiment classification, Computational Linguistics, Vol. 41, Num. 2, 293-336, 2015
  113. Gao, Dehong; Wei, Furu; Li, Wenjie; Liu, Xiaohua; Zhou, Ming; Cross-lingual sentiment lexicon learning with bilingual word graph label propagation, Computational Linguistics, Vol. 41 Num. 1, 21-40, 2015
  114. Dong, Li; Wei, Furu; Xu, Ke; Liu, Shixia; Zhou, Ming; Adaptive multi-compositionality for recursive neural network models IEEE/ACM Transactions on Audio, Speech, and Language Processing , Vol. 24, Num. 3, 422-431, 2015
  115. Tang, Duyu; Wei, Furu; Qin, Bing; Yang, Nan; Liu, Ting; Zhou, Ming; Sentiment embeddings with applications to sentiment analysis, IEEE transactions on knowledge and data Engineering, Vol. 28, Num. 2, 496-509, 2015
  116. Tang, Duyu; Qin, Bing; Wei, Furu; Dong, Li; Liu, Ting; Zhou, Ming; A joint segmentation and classification framework for sentence level sentiment classification IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015
  117. Zhang, Jiajun; Liu, Shujie; Li, Mu; Zhou, Ming; Zong, Chengqing; Towards machine translation in semantic vector space, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 14, Num. 2, 2015
  118. Dong, Li; Wei, Furu; Zhou, Ming; Xu, Ke; Question answering over freebase with multi-column convolutional neural networks, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015
  119. Wu, Shuangzhi; Zhang, Dongdong; Zhou, Ming; Zhao, Tiejun; Efficient disfluency detection with transition-based parsing, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015
  120. Wu, Yu; Wu, Wei; Li, Zhoujun; Zhou, Ming; Mining query subtopics from questions in community question answering, Proceedings of the AAAI Conference on Artificial Intelligence,2015
  121. Cao, Ziqiang; Wei, Furu; Li, Sujian; Li, Wenjie; Zhou, Ming; Wang, Houfeng; Learning summary prior representation for extractive summarization, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers),2015
  122. Yin, Pengcheng; Duan, Nan; Kao, Ben; Bao, Junwei; Zhou, Ming; Answering questions with complex semantic constraints on open knowledge bases,Proceedings of the 24th ACM International on Conference on Information and Knowledge Management,2015
  123. Lin, Rui; Liu, Shujie; Yang, Muyun; Li, Mu; Zhou, Ming; Li, Sheng; Hierarchical recurrent neural network for document modeling, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
  124. Dong, Li; Wei, Furu; Yin, Yichun; Zhou, Ming; Xu, Ke; Splusplus: a feature-rich two-stage classifier for sentiment analysis of tweets, Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015), 2015
  125. Cao, Ziqiang; Wei, Furu; Dong, Li; Li, Sujian; Zhou, Ming; Ranking with recursive neural networks and its application to multi-document summarization, Proceedings of the AAAI Conference on Artificial Intelligence, 2015
  126. Dong, Li; Wei, Furu; Sun, Hong; Zhou, Ming; Xu, Ke; A hybrid neural model for type classification of entity mentions, twenty-fourth International Joint Conference on Artificial Intelligence, 2015
  127. Sun, Hong; Wei, Furu; Zhou, Ming; Answer extraction with multiple extraction engines for web-based question answering, CCF International Conference on Natural Language Processing and Chinese Computing, 2014
  128. Dong, Li; Wei, Furu; Tan, Chuanqi; Tang, Duyu; Zhou, Ming; Xu, Ke; Adaptive recursive neural network for target-dependent twitter sentiment classification, Proceedings of the 52nd annual meeting of the association for computational linguistics (volume 2: Short papers), 2014
  129. Tang, Duyu; Wei, Furu; Qin, Bing; Liu, Ting; Zhou, Ming; Coooolll: A deep learning system for twitter sentiment classification, Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014), 2014
  130. Liu, Shujie; Yang, Nan; Li, Mu; Zhou, Ming; A recursive recurrent neural network for statistical machine translation, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
  131. Zhang, Jiajun; Liu, Shujie; Li, Mu; Zhou, Ming; Zong, Chengqing; Bilingually-constrained phrase embeddings for machine translation Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
  132. Tang, Duyu; Wei, Furu; Qin, Bing; Dong, Li; Liu, Ting; Zhou, Ming; A joint segmentation and classification framework for sentiment analysis, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014
  133. Cui, Lei; Zhang, Dongdong; Liu, Shujie; Chen, Qiming; Li, Mu; Zhou, Ming; Yang, Muyun; Learning topic representation for smt with neural networks , Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
  134. Yang, Min-Chul; Duan, Nan; Zhou, Ming; Rim, Hae Chang; Joint relational embeddings for knowledge-based question answering, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014
  135. Bao, Junwei; Duan, Nan; Zhou, Ming; Zhao, Tiejun; Knowledge-based Question Answering as machine translation, Proceedings of the 52nd Annual Meeting of the ACL, 2014
  136. Cao, Hailong; Zhang, Dongdong; Li, Mu; Zhou, Ming; Zhao, Tiejun; A Lexicalized Reordering Model for Hierarchical Phrase-based Translation, COLING 2014
  137. Tang, Duyu; Wei, Furu; Yang, Nan; Zhou, Ming; Liu, Ting; Qin, Bing; Learning sentiment-specific word embedding for twitter sentiment classification. ACL, 2014
  138. Cao, Hailong; Zhang, Dongdong; Zhou, Ming; Zhao, Tiejun; Soft dependency matching for hierarchical phrase-based machine translation, Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014
  139. Bao, Junwei; Duan, Nan; Zhou, Ming; Zhao, Tiejun; Knowledge-based question answering as machine translation, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
  140. Wang, Bo; Zhou, Ming; Liu, Shujie; Li, Mu; Zhang, Dongdong; Woodpecker: An Automatic Methodology for Machine Translation Diagnosis with Rich Linguistic Knowledge. J. Inf. Sci. Eng. Vol. 30, Num. 5, 2014
  141. Zhang, Kai; Wu, Wei; Wu, Haocheng; Li, Zhoujun; Zhou, Ming; Question retrieval with high quality answers in community question answering, Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, 2014
  142. Wu, Haocheng; Wu, Wei; Zhou, Ming; Chen, Enhong; Duan, Lei; Shum, Heung-Yeung; Improving search relevance for short queries in community question answering, Proceedings of the 7th ACM international conference on Web Search and Data Mining, 2014
  143. Tang, Duyu; Wei, Furu; Qin, Bing; Zhou, Ming; Liu, Ting; Building large-scale twitter-specific sentiment lexicon: A representation learning approach, Proceedings of COLING 2014, the 25th international conference on computational linguistics: Technical papers, 2014
  144. Zhang, Jiajun; Liu, Shujie; Li, Mu; Zhou, Ming; Zong, Chengqing; Mind the gap: Machine translation by minimizing the semantic gap in embedding space, Proceedings of the AAAI Conference on Artificial Intelligence, 2014
  145. Cui, Lei; Zhou, Ming; Chen, Qiming; Zhang, Dongdong; Li, Mu; Machine translation with real-time web search, Proceedings of the AAAI Conference on Artificial Intelligence, 2014
  146. Cui, Lei; Zhang, Dongdong; Liu, Shujie; Li, Mu; Zhou, Ming; Collective corpus weighting and phrase scoring for SMT using graph-based random walk, CCF International Conference on Natural Language Processing and Chinese Computing, 2013
  147. Li, Kuan; Xiong, Zhongyang; Zhang, Yufang; Liu, Xiaohua; Zhou, Ming; Zhang, Guanghua; The Spoken/Written Language Classification of English Sentences with Bilingual Information, CCF International Conference on Natural Language Processing and Chinese Computing, 2013
  148. Liu, Xiaohua; Zhou, Ming; Two-stage NER for tweets with clustering, Information Processing & Management, Vol. 49, Num. 1, 264-273, 2013
  149. Liu, Xiaohua; Wei, Furu; Zhang, Shaodian; Zhou, Ming; Named entity recognition for tweets, ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 4, Num. 1, 2013
  150. Chen, Xilin; Li, Hanjing; Pan, Tim; Tansley, Stewart; Zhou, Ming; Kinect sign language translator expands communication possibilities, Microsoft Research Workshop, 2013
  151. Cui, Lei; Chen, Xilun; Zhang, Dongdong; Liu, Shujie; Li, Mu; Zhou, Ming; Multi-domain adaptation for SMT using multi-task learning, Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
  152. Sun, Hong; Duan, Nan; Duan, Yajuan; Zhou, Ming; Answer extraction from passage graph for question answering, Twenty-Third International Joint Conference on Artificial Intelligence, 2013
  153. Yang, Nan; Liu, Shujie; Li, Mu; Zhou, Ming; Yu, Nenghai; Word alignment modeling with context dependent deep neural network, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2013
  154. Dong, Li; Wei, Furu; Duan, Yajuan; Liu, Xiaohua; Zhou, Ming; Xu, Ke; The automated acquisition of suggestions from tweets, Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
  155. Chai, Xiujuan; Li, Guang; Chen, Xilin; Zhou, Ming; Wu, Guobin; Li, Hanjing; Visualcomm: A tool to support communication between deaf and hearing persons with the Kinect, Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, 2013
  156. Wang, Chenguang; Duan, Nan; Zhou, Ming; Zhang, Ming; Paraphrasing adaptation for web search ranking, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2013
  157. Liu, Xiaohua; Li, Yitong; Wu, Haocheng; Zhou, Ming; Wei, Furu; Lu, Yi; Entity linking for tweets Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2013
  158. Cui, Lei; Zhang, Dongdong; Liu, Shujie; Li, Mu; Zhou, Ming; Bilingual data cleaning for smt using graph-based random walk, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2013
  159. Gao, Dehong; Wei, Furu; Li, Wenjie; Liu, Xiaohua; Zhou, Ming; Co-training based bilingual sentiment lexicon learning, Proceedings of the 17th AAAI Conference on Late-Breaking Developments in the Field of Artificial Intelligence, 2013
  160. Arase, Yuki; Zhou, Ming; Machine translation detection from monolingual web-text, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2013
  161. He, Zhengyan; Liu, Shujie; Li, Mu; Zhou, Ming; Zhang, Longkai; Wang, Houfeng; Learning entity representation for entity disambiguation, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2013
  162. He, Zhengyan; Liu, Shujie; Song, Yang; Li, Mu; Zhou, Ming; Wang, Houfeng; Efficient collective entity linking with stacking, Proceedings of the 2013 conference on empirical methods in natural language processing, 2013
  163. Zhou, Ming; Zhou, Guodong; Zhao, Dongyan; Liu, Qun; Zou, Lei; Natural Language Processing and Chinese Computing: First CCF Conference, NLPCC, 2012
  164. Kim, Jinhan; Hwang, Seung-won; Jiang, Long; Song, Young-In; Zhou, Ming; Entity translation mining from comparable corpora: Combining graph mapping with corpus latent features, IEEE Transactions on Knowledge and Data Engineering, Vol. 25, Num. 8, 2012
  165. Liu, Shu-Jie; Li, Chi-ho; Li, Mu; Zhou, Ming; Co-training framework for feature weight optimization of statistic machine translation, Journal of Software, Vol. 23, Num. 12, 3101-3114, 2012
  166. Meng, Xinfan; Wei, Furu; Liu, Xiaohua; Zhou, Ming; Xu, Ge; Wang, Houfeng; Cross-lingual mixture model for sentiment classification Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2012
  167. He, Jing; Zhou, Ming; Jiang, Long; Generating Chinese classical poems with statistical machine translation models, Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
  168. Meng, Xinfan; Wei, Furu; Liu, Xiaohua; Zhou, Ming; Li, Sujian; Wang, Houfeng; Entity-centric topic-oriented opinion summarization in twitter, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
  169. Liu, Xiaohua; Wei, Furu; Zhou, Ming; Quickview: NLP-based tweet search, Proceedings of the ACL 2012 System Demonstrations, 2012
  170. Duan, Yajuan; Chen, Zhumin; Wei, Furu; Zhou, Ming; Shum, Heung Yeung; Twitter topic summarization by ranking tweets using social influence and content quality, Proceedings of COLING, 2012
  171. Duan, Nan; Li, Mu; Zhou, Ming; Forced derivation tree based model training to statistical machine translation, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
  172. Liu, Xiaohua; Zhou, Ming; Zhou, Xiangyang; Fu, Zhongyang; Wei, Furu; Joint inference of named entity recognition and normalization for tweets, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2012
  173. Meng, Xinfan; Wei, Furu; Xu, Ge; Zhang, Longkai; Liu, Xiaohua; Zhou, Ming; Wang, Houfeng; Lost in translations? building sentiment lexicons using context based machine translation, Proceedings of COLING 2012: Posters, 2012
  174. Liu, Xiaohua; Li, Yitong; Wei, Furu; Zhou, Ming; Graph-based multi-tweet summarization using social signals, Proceedings of COLING, 2012
  175. Liu, Shujie; Li, Chi-Ho; Li, Mu; Zhou, Ming; Re-training monolingual parser bilingually for syntactic SMT, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
  176. Sun, Hong; Zhou, Ming; Joint learning of a dual SMT system for paraphrase generation, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2012
  177. Feng, Yang; Zhang, Dongdong; Li, Mu; Liu, Qun; Hierarchical chunk-to-string translation, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2012
  178. Duan, Yajuan; Wei, Furu; Zhou, Ming; Shum, Heung-Yeung; Graph-based collective classification for tweets Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
  179. Liu, Shujie; Li, Chi-Ho; Li, Mu; Zhou, Ming; Learning translation consensus with structured label propagation, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2012
  180. Lee, Seung-Wook; Zhang, Dongdong; Li, Mu; Zhou, Ming; Rim, Hae Chang; Translation model size reduction for hierarchical phrase-based statistical machine translation, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2012
  181. Xie, Lixing; Zhou, Ming; Sun, Maosong; Hierarchical structure-based hybrid approach to sentiment analysis of Chinese micro blog and its feature extraction Journal of Chinese information processing, Vol. 26, Num. 1, 2012
  182. Liu, Xiaohua; Fu, Zhongyang; Wei, Furu; Zhou, Ming; Collective nominal semantic role labeling for tweets, Proceedings of the AAAI Conference on Artificial Intelligence, 2012
  183. Liu, Xiaohua; Zhou, Xiangyang; Fu, Zhongyang; Wei, Furu; Zhou, Ming; Exacting social events for tweets using a factor graph, Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
  184. Liu, Xiaohua; Han, Bo; Zhou, Ming; Correcting verb selection errors for ESL with the perceptron, International Conference on Intelligent Text Processing and Computational Linguistics, 2011
  185. Liu, Xiaohua; Zhou, Ming; Sentence-level sentiment analysis via sequence modeling, International Conference on Applied Informatics and Communication, 2011
  186. Scott, Matthew R; Liu, Xiaohua; Zhou, Ming; Towards a Specialized Search Engine for Language Learners [Point of View], Proceedings of the IEEE Vol. 99, Num. 9, 1462-1465, 2011
  187. Liu, Xiaohua; Zhang, Shaodian; Wei, Furu; Zhou, Ming; Recognizing named entities in tweets, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
  188. Tan, Chenhao; Lee, Lillian; Tang, Jie; Jiang, Long; Zhou, Ming; Li, Ping; User-level sentiment analysis incorporating social networks, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
  189. Wang, Xiaolong; Wei, Furu; Liu, Xiaohua; Zhou, Ming; Zhang, Ming; Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 2011
  190. Duan, Nan; Li, Mu; Zhou, Ming; Hypothesis mixture decoding for statistical machine translation, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
  191. Duan, Nan; Li, Mu; Zhou, Ming; Cui, Lei; Improving phrase extraction via MBR phrase scoring and pruning, Proceedings of Machine Translation Summit XIII, 2011
  192. Jiang, Long; Yu, Mo; Zhou, Ming; Liu, Xiaohua; Zhao, Tiejun; Target-dependent twitter sentiment classification, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
  193. Cui, Lei; Zhang, Dongdong; Li, Mu; Zhou, Ming; Function word generation in statistical machine translation systems Proceedings of Machine Translation Summit XIII, 2011
  194. Kim, Jinhan; Jiang, Long; Hwang, Seung-won; Song, Young-In; Zhou, Ming; Mining entity translations from comparable corpora: a holistic graph mapping approach, Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 2011
  195. Liu, Xiaohua; Li, Kuan; Zhou, Ming; Xiong, Zhongyang; Collective semantic role labeling for tweets with clustering, Twenty-Second International Joint Conference on Artificial Intelligence(IJCAI), 2011
  196. Liu, Xiaohua; Kuan, Li; Zhou, Ming; Xiong, Zhongyang; Enhancing semantic role labeling for tweets using self-training Proceedings of the AAAI Conference on Artificial Intelligence, 2011
  197. Liu, Shujie; Li, Chi-Ho; Zhou, Ming; Statistic Machine Translation Boosted with Spurious Word Deletion, Proceedings of Machine Translation Summit XIII, 2011
  198. Liu, Xiaohua; Jiang, Long; Wei, Furu; Zhou, Ming; Microsoft, QuickView Team; QuickView: advanced search of tweets Proceedings of the 34th international ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
  199. Scott, Matthew R; Liu, Xiaohua; Zhou, Ming; Engkoo: mining the web for language learning, Proceedings of the ACL-HLT 2011 System Demonstrations, 2011
  200. Liu, Shujie; Li, Chi-Ho; Zhou, Ming; A Unified SMT Framework Combining MIRA and MERT, Proceedings of Machine Translation Summit XIII, 2011
  201. Ding, Duo; Jiang, Xingping; Scott, Matthew R; Zhou, Ming; Yu, Yong; Tulsa: web search for writing assistance, Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011
  202. Liu, Xiaohua; Zhou, Ming; Evaluating the quality of web-mined bilingual sentences using multiple linguistic features, International Conference on Asian Language Processing, 2010
  203. Gao, Wei; Niu, Cheng; Nie, Jian-Yun; Zhou, Ming; Wong, Kam-Fai; Hon, Hsiao-Wuen; Exploiting query logs for cross-lingual query suggestions, ACM Transactions on Information Systems (TOIS) Vol. 28, Num. 2, 2010
  204. Duan, Yajuan; Jiang, Long; Qin, Tao; Zhou, Ming; Shum, Heung Yeung; An empirical study on learning to rank of tweets, Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010
  205. Liu, Xiaohua; Han, Bo; Li, Kuan; Stiller, Stephan Hyeonjun; Zhou, Ming, SRL-based verb selection for ESL, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
  206. Cui, Lei; Zhang, Dongdong; Li, Mu; Zhou, Ming; Zhao, Tiejun; A joint rule selection model for hierarchical phrase-based translation, Proceedings of the ACL 2010 Conference, Short Papers, 2010
  207. Duan, Nan; Li, Mu; Zhang, Dongdong; Zhou, Ming; Mixture model-based minimum bayes risk decoding using multiple machine translation systems, Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010
  208. Cui, Lei; Zhang, Dongdong; Li, Mu; Zhou, Ming; Zhao, Tiejun; Hybrid decoding: decoding with partial hypotheses combination over multiple SMT systems, COLING, Posters, 2010
  209. Duan, Nan; Sun, Hong; Zhou, Ming; Translation model generalization using probability averaging for machine translation, Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010
  210. Liu, Xiaohua; Li, Kuan; Han, Bo; Zhou, Ming; Jiang, Long; Tse, Daniel; Xiong, Zhongyang; Collective semantic role labeling on open news corpus by leveraging redundancy, COLING, Posters, 2010
  211. Li, Mu; Zhao, Yinggong; Zhang, Dongdong; Zhou, Ming; Adaptive development data selection for log-linear model in statistical machine translation, Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010
  212. Liu, Xiaohua; Li, Kuan; Han, Bo; Zhou, Ming; Jiang, Long; Xiong, Zhongyang; Huang, Changning; Semantic role labeling for news tweets, Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010
  213. Hong, Gumwon; Li, Chi-Ho; Zhou, Ming; Rim, Hae Chang; An empirical study on web mining of parallel data, Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010
  214. Liu, Shujie; Li, Chi-Ho; Zhou, Ming; Improved discriminative ITG alignment using hierarchical phrase pairs and semi-supervised training, COLING, Posters, 2010
  215. He, Jing; Zhou, Ming; Jiang, Long; Generating Chinese Metrical Poetry by a Statistical MT Approach, Journal of Chinese Information Processing, Vol. 24, Num. 2, 2010
  216. Liu, Shujie; Li, Chi-Ho; Zhou, Ming; Discriminative pruning for discriminative ITG alignment, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, 2010
  217. Liu, Xiaohua; Zhou, Ming; Evaluating the Quality of Web-Mined Bilingual Sentence Pairs. Int. J. Asian Lang. Process. Vo. 20, Num. 4, 2010
  218. Gao, Wei; Niu, Cheng; Zhou, Ming; Wong, Kam-Fai; Joint ranking for multilingual web search, European Conference on Information Retrieval, 2009
  219. Jiang, Long; Yang, Shiquan; Zhou, Ming; Liu, Xiaohua; Zhu, Qingsheng; Mining bilingual data from the web with adaptively learnt patterns, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2009
  220. Duan, Nan; Li, Mu; Xiao, Tong; Zhou, Ming; The feature subspace method for SMT system combination, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
  221. Li, Mu; Duan, Nan; Zhang, Dongdong; Li, Chi-Ho; Zhou, Ming; Collaborative decoding: Partial hypothesis re-ranking using translation consensus between decoders, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2009
  222. Zhou, Ming; Jiang, Long; He, Jing; Generating Chinese couplets and quatrain using a statistical approach, Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, 2009
  223. Gao, Wei; Blitzer, John; Zhou, Ming; Wong, Kam-Fai; Exploiting bilingual information to improve web search, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2009
  224. Xiao, Tong; Li, Mu; Zhang, Dongdong; Zhu, Jingbo; Zhou, Ming; Better synchronous binarization for machine translation, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
  225. Zhao, Shiqi; Niu, Cheng; Zhou, Ming; Liu, Ting; Li, Sheng; Combining multiple resources to improve SMT-based paraphrasing model, ACL, 2008
  226. Zhang, Dongdong; Li, Mu; Duan, Nan; Li, Chi-Ho; Zhou, Ming; Measure word generation for English-Chinese SMT systems, Proceedings of ACL-LT, 2008
  227. Shi, Lei; Zhou, Ming; Improved sentence alignment on parallel web pages using a stochastic tree alignment model, Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
  228. Zhou, Ming; Wang, Bo; Liu, Shujie; Li, Mu; Zhang, Dongdong; Zhao, Tiejun; Diagnostic evaluation of machine translation systems using automatically constructed linguistic check-points, Proceedings of the 22nd International Conference on Computational Linguistics (COLING),2008
  229. Jiang, Long; Zhou, Ming; Generating Chinese couplets using a statistical MT approach, Proceedings of the 22nd International Conference on Computational Linguistics (COLING),2008
  230. Myaeng, Sung Hyon; Zhou, Ming; Wong, Kam-Fai; Zhang, Hong-Jiang; Information Retrieval Technology: Asia Information Retrieval Symposium, AIRS, 2004
  231. Chen, Qing; Li, Mu; Zhou, Ming; Improving query spelling correction using web search results,Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL),2007
  232. Lee, John SY; Zhou, Ming; Liu, Xiaohua; Detection of non-native sentences using machine-translated training data,Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers,2007
  233. Li, Chi-Ho; Li, Minghui; Zhang, Dongdong; Li, Mu; Zhou, Ming; Guan, Yi; A probabilistic approach to syntax-based reordering for statistical machine translation,Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics,2007
  234. Sun, Guihua; Cong, Gao; Liu, Xiaohua; Lin, Chin-Yew; Zhou, Ming; Mining sequential patterns and tree patterns to detect erroneous sentences AAAI,2007
  235. Zhao, Shiqi; Zhou, Ming; Liu, Ting; Learning Question Paraphrases for QA from Encarta Logs. IJCAI,2007
  236. Ye, Yang; Zhou, Ming; Lin, Chin-Yew; Sentence level machine translation evaluation as a ranking, Proceedings of the Second Workshop on Statistical Machine Translation,2007
  237. Huang, Jizhou; Zhou, Ming; Yang, Dan; Extracting Chatbot Knowledge from Online Discussion Forums, IJCAI,2007
  238. Sun, Guihua; Liu, Xiaohua; Cong, Gao; Zhou, Ming; Xiong, Zhongyang; Lee, John SY; Lin, Chin-Yew; Detecting erroneous sentences using automatically mined sequential patterns,Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics,2007
  239. Liu, Jingjing; Cao, Yunbo; Lin, Chin-Yew; Huang, Yalou; Zhou, Ming; Low-quality product review detection in opinion summarization,Proceedings of the 2007 joint conference on empirical methods in natural language processing and computational natural language learning (EMNLP-CoNLL),2007
  240. Gao, Wei; Niu, Cheng; Nie, Jian-Yun; Zhou, Ming; Hu, Jian; Wong, Kam-Fai; Hon, Hsiao-Wuen; Cross-lingual query suggestion using query logs of different languages,Proceedings of the 30th annual international ACM SIGIR Conference on Research and Development in Information Retrieval,2007
  241. Zhang, Dongdong; Li, Mu; Li, Chi-Ho; Zhou, Ming; Phrase reordering model integrating syntactic knowledge for SMT,Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL),2007
  242. Jiang, Long; Zhou, Ming; Chien, Lee-Feng; Niu, Cheng; Named Entity Translation with Web Mining and Transliteration. IJCAI, 2007
  243. Gao, Jianfeng; Nie, Jian-Yun; Zhou, Ming; Statistical query translation models for cross-language information retrieval, ACM Transactions on Asian Language Information Processing (TALIP), 2006
  244. Li, Mu; Zhu, Muhua; Zhang, Yang; Zhou, Ming; Exploring distributional similarity based models for query spelling correction, Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 2006
  245. Chen, Yi; Zhou, Ming; Wang, Shilong; Reranking answers for definitional QA using language modeling, Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 2006
  246. Yu, Kun; Guan, Gang; Zhou, Ming; Resume information extraction with cascaded hybrid model, Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), 2005
  247. Shi, Lei; Niu, Cheng; Zhou, Ming; Gao, Jianfeng; A DOM tree alignment model for mining parallel data from the web, COLING-ACL, 2005
  248. Lü, Yajuan; Zhou, Ming; Collocation translation acquisition using monolingual corpora, Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL), 2004
  249. Wang, Wei; Zhou, Ming; Improving word alignment models using structured monolingual corpora , Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, 2004
  250. Lin, Dekang; Zhao, Shaojun; Qin, Lijuan; Zhou, Ming; Identifying synonyms among distributionally similar words, IJCAI , 2003
  251. Huang, Jin-Xia; Wang, Wei; Zhou, Ming; A unified statistical model for generalized translation memory system, Proceedings of Machine Translation Summit IX, 2003
  252. Sun, Jian; Zhou, Ming; Gao, Jianfeng; A class-based language model approach to Chinese named entity identification International Journal of Computational Linguistics & Chinese Language Processing, Volume 8, Number 2, August 2003
  253. Wu, Hua; Zhou, Ming; Synonymous collocation extraction using translation information Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003
  254. Sun, Jian; Gao, Jianfeng; Zhang, Lei; Zhou, Ming; Huang, Changning; Chinese named entity identification using class-based language model, COLING, 2002:
  255. Yao, Jianmin; Zhou, Ming; Zhao, Tiejun; Yu, Hao; Li, Sheng; An automatic evaluation method for localization oriented lexicalised EBMT system, COLING, 2002:
  256. Ma, Qing; Zhang, Min; Murata, Masaki; Zhou, Ming; Isahara, Hitoshi; Self-organizing Chinese and Japanese semantic maps, COLING, 2002
  257. Gao, Jianfeng; Zhou, Ming; Nie, Jian-Yun; He, Hongzhao; Chen, Weijun; Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, 2002
  258. Wang, Wei; Zhou, Ming; Huang, Jin-Xia; Huang, Changning; Structure alignment using bilingual chunking, COLING,2002
  259. Gao, Jianfeng; Nie, Jian-Yun; Xun, Endong; Zhang, Jian; Zhou, Ming; Huang, Changning; Improving query translation for cross-language information retrieval using statistical models,Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval,2001
  260. Zhang, Jian; Gao, Jianfeng; Zhou, Ming; Wang, Jiaxing; Improving the effectiveness of information retrieval with clustering and fusion International,Journal of Computational Linguistics & Chinese Language Processing, Volume 6, Number 1, February 2001: Special Issue on Natural Language Processing Researches in MSRA,2001
  261. Zhou, Ming; Ding, Yuan; Huang, Changning; Improving translation selection with a new translation model trained by independent monolingual corpora International Journal of Computational Linguistics & Chinese Language Processing, Volume 6, Number 1, February 2001: Special Issue on Natural Language Processing Researches in MSRA,2001
  262. Lü, Yajuan; Zhou, Ming; Li, Sheng; Huang, Changning; Zhao, Tiejun; Automatic translation template acquisition based on bilingual structure alignment International Journal of Computational Linguistics & Chinese Language Processing, Volume 6, Number 1, February 2001: Special Issue on Natural Language Processing Researches in MSRA, 2001
  263. Lai, Tom BY; Huang, Changning; Zhou, Ming; Miao, Jiangbo; Siu, Tony KC; Span-based Statistical Dependency Parsing of Chinese. NLPRS,2001
  264. Wang, Wei; Huang, Jin-Xia; Zhou, Ming; Huang, Changning; Finding Target Language Correspondence for Lexicalized EBMT System. NLPRS,2001
  265. Gao, Jianfeng; Nie, Jian-Yun; Zhang, Jian; Xun, Endong; Su, Yi; Zhou, Ming; Huang, Changning; TREC-9 CLIR experiments at msrcn, TREC, 2000
  266. Xun, Endong; Huang, Changning; Zhou, Ming; A unified statistical model for the identification of English baseNP, Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 2000
  267. Nie, Jian-Yun; Gao, Jiangfeng; Zhang, Jian; Zhou, Ming; On the use of words and n-grams for Chinese information retrieval, Proceedings of the fifth international workshop on Information retrieval with Asian languages, 2000
  268. Liu, Ting; Zhou, Ming; Gao, Jianfeng; Xun, Endong; Huang, Changning; PENS: A machine-aided English writing system for Chinese users, Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 2000
  269. Zhou, Ming; A block-based robust dependency parser for unrestricted Chinese text, Second Chinese Language Processing Workshop, 2000
  270. Zhang, Lei; Zhou, Ming; Huang, Changning; Pan, Haihua; Automatic detecting/correcting errors in Chinese text by an approximate word-matching algorithm, Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 2000
  271. Zhou, Ming; Huang, Changning; An efficient syntactic tagging tool for corpora, COLING, 1994
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