教师名录

赵 海 副教授

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办公室电话:+86-21-3420-4273

办公地点:SEIEE-3-524

电子邮件:zhaohai@cs.sjtu.edu.cn

实验室: 智能计算与智能系统重点实验室

  • 研究兴趣
  • 教育背景
  • 工作经验
  • 教授课程
  • 论文发表
  • 项目资助
  • 获奖信息
  • 学术服务
natural language processing, machine learning, and artificial intelligence
2000-2005, Doctor of Philosophy in Computer Software and Theory, Shanghai Jiao Tong University, Shanghai, China
1998-2000, Master of Philosophy in Control Theory and Control Engineering, Yanshan University, Qinhuangdao, Hebei, China
1995-1999, Bachelor of Engineering in Sensor and Instruments, Yanshan University, Qinhuangdao, Hebei, China
2006-2009, Research Fellow in Computational Linguistics, City University of Hong Kong
2005-2006, Visiting Work in Natural Language Computing Group, Microsoft Research Asia, Beijing, China
natural language processing


[2017]

  • Deng Cai, Hai Zhao*, Yang Xin, Yuzhu Wang, Zhongye Jia
    A Hybrid Model for Chinese Spelling Check,
    ACM Transactions on Asian Low-Resource Language Information Process, 2017

[2016]

  • Rui Wang, Hai Zhao*, Bao-Liang Lu, Masao Utiyama and Eiichro Sumita,
    Connecting Phrase based Statistical Machine Translation Adaptation,
    COLING-2016, pp.3135-3145, Osaka, Japan, December, 2016
    [PDF]

  • Lianhui Qin, Zhisong Zhang, and Hai Zhao*
    Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings,
    COLING-2016, pp.1914-1924, Osaka, Japan, December, 2016
    [PDF]

  • Lianhui Qin, Zhisong Zhang, and Hai Zhao*
    A stacking gated neural architecture for implicit discourse relation classification.
    Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.2263-2270, Austin, USA, November, 2016
    [PDF]

  • Chenxi Pang, Hai Zhao*, Zhongyi Li,
    I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation,
    LNCS Vol.10035, CCL-2016, Yantai, China, Oct 15-16, 2016
    [PDF]

  • Zhongyi Li, Hai Zhao*, Chenxi Pang, Lili Wang, Huan Wang
    A Constituent Syntactic Parse Tree based Discourse Parser,
    CoNLL-2016 Shared Task, pp.60-64, Berlin, Germany, August 7-12, 2016

  • Lianhui Qin, Zhisong Zhang, Hai Zhao*
    Shallow Discourse Parsing using Convolutional Neural Network,
    CoNLL-2016 Shared Task, pp.70-77, Berlin, Germany, August 7-12, 2016

  • Deng Cai, Hai Zhao*
    Neural Word Segmentation Learning for Chinese ,
    ACL-2016, pp.409-420, Berlin, Germany, August 7-12, 2016
    [PDF]

  • Zhisong Zhang, Hai Zhao*, Lianhui Qin
    Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network,
    ACL-2016, pp. 1382-1392, Berlin, Germany, August 7-12, 2016
    [PDF]

  • Rui Wang, Hai Zhao*, Sabine Ploux, Bao-Liang Lu, Masao Utiyama
    A Bilingual Graph-based Semantic Model for Statistical Machine Translation,
    IJCAI-2016, pp.2950-2956, New York, USA, July 9-15, 2016
    [PDF]

  • Peilu Wang, Yao Qian,Hai Zhao*, Frank K. Soong, Lei He, Ke Wu
    Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network,
    NAACL-2016, pp.527-533, San Diego, USA, June 12-15, 2016
    [PDF]

  • Rui Wang, Masao Utiyama, Isao Goto, Eiichiro Sumita, Hai Zhao*, Bao-Liang Lu,
    Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine Translation,
    ACM Transactions on Asian Low-Resource Language Information Process, Vol. 15(3), Article 11, pp.1-26, January, 2016

  • Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Hai Zhao*, Graham Neubig, Satoshi Nakamura,
    Learning local word reorderings for hierarchical phrase-based statistical machine translation,
    Machine Translation, Spinger, 2016


[2015]

  • Rui Wang, Masao Utiyama, Isao Goto, Eiichiro Sumita, Hai Zhao*, Bao-Liang Lu,
    Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine Translation,
    ACM Transactions on Asian Low-Resourse Languange Information Process, (to appear)

  • Changge Chen, Hai Zhao*, Yang Yang
    Deceptive Opinion Spam Detection using Deep Level Linguistic Features,
    The 4th CCF Conference on Natural Language Processing & Chinese Computing(NLPCC 2015),
    October 9-13, 2015, Nanchang, China

  • Shuo Zang, Hai Zhao*, Chunyang Wu, Rui Wang,
    A Novel Word Reordering Method for Statistical Machine Translation,
    The 2015 11th International Conference on Natural Computation (ICNC’15) and the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’15),
    August 15-17, 2015, Zhangjiajie, China

  • Changge Chen, Peilu Wang, Hai Zhao*,
    Shallow Discourse Parsing Using Constituent Parsing Tree,
    CoNLL 2015
    July 30, 2015, Beijing, China

  • Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Hai Zhao*,
    LearningWord Reorderings for Hierarchical Phrase-based Statistical Machine Translation,
    ACL-IJCNLP 2015
    July 26-31, 2015, Beijing, China

  • Rui Wang, Hai Zhao*, Bao-Liang Lu, Masao Utiyama and Eiichiro Sumita,
    Bilingual Continuous-Space Language Model Growing for Statistical Machine Translation,
    IEEE/ACM Transactions on Audio, Speech, and Languange Processing, Vol.23(7): 1209-1220, 2015

[2014]

  • Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama and Eiichro Sumita
    Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation
    EMNLP 2014: 189-195, Doha, Qatar, October, 2014

  • Jingyi Zhang, Masao Utiyama and Eiichro Sumita, Hai Zhao
    Learning Hierarchical Translation Spans
    EMNLP 2014: 183-188, Doha, Qatar, October, 2014

  • Yang Xin, Hai Zhao, Yuzhu Wang and Zhongye Jia
    An Improved Graph Model for Chinese Spell Checking
    SIGHAN-2014, Wuhan, China, October, 2014

  • Xiaolin Wang, Hai Zhao, Bao-Liang Lu
    A Meta-Top-down Method for Large-scale Hierarchical Classification
    IEEE Transactions on Knowledge and Data Engineering, Vol.26(3):500-513,March 2014

  • Xiaolin Wang, Yangyang Chen, Hai Zhao, Bao-Liang Lu
    Parallelized Extreme Learning Machine Ensemble Based on Min-Max Modular Network
    Neurocomputing, Vol.128:31-41, March 2014

  • Jia, Zhongye, Hai Zhao
    A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction
    In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)(ACL 2014), pages 1512--1523, Baltimore, Maryland, June

  • Wang, Peilu and Jia, Zhongye and Hai Zhao
    Grammatical Error Detection and Correction using a Single Maximum Entropy Model
    Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL-2014), pages 74--82, Baltimore, Maryland, June

[2013]

  • Rui Wang, Masao Utiyama, Isao Goto, Eiichro Sumita, Hai Zhao, and Bao-Liang Lu
    Converting Continuous-Space Language Models into N-gram Language Models for Statistical Machine Translation
    EMNLP-2013: 845-850, Seattle, USA, October, 2013

  • Xiao-Lin Wang, Hai Zhao, and Bao-Liang Lu
    Labeled Alignment for Recognizing Textual Entailment
    IJCNLP-2013: 605-613, Nagoya, Japan, October, 2013

  • Zhongye Jia, Hai Zhao
    Kyss 1.0: a Framework for Automatic Evaluation of Chinese Input Method Engines
    IJCNLP-2013: 1195-1201, Nagoya, Japan, October, 2013

  • Zhongye Jia, Peilu Wang, Hai Zhao
    Graph Model for Chinese Spell Checking
    SIGHAN-7: 88-92, Nagoya, Japan, October, 2013

  • Zhongye Jia, Peilu Wang, Hai Zhao
    Grammatical Error Correction as Multiclass Classification with Single Model
    CoNLL-2013: 74-81, Sofia, Bulgaria, August, 2013

  • Jingyi Zhang, Hai Zhao
    Improving Function Word Alignment with Frequency and Syntactic Information
    IJCAI-2013: 2211-2217, Beijing, China, August, 2013

  • Xiaolin Wang, Hai Zhao, Bao-Liang Lu
    BCMI-NLP Labeled-Alignment-Based Entailment System for NTCIR-10 RITE-2 Task
    NTCIR-10: 474-478, Tokyo, Japan, June, 2013

  • Hai Zhao, Jingyi Zhang, Masao Utiyama and Eiichro Sumita
    An Improved Patent Machine Translation System Using Adaptive Enhancement for NTCIR-10 PatentMT Task
    NTCIR-10: 376-379, Tokyo, Japan, June, 2013

  • Hai Zhao, Xiaotian Zhang, and Chunyu Kit
    Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection
    Journal of Artificial Intelligence Research, Volume 46:203-233, 2013

  • Hai Zhao, Masao Utiyama, Eiichro Sumita, and Bao-Liang Lu
    An Empirical Study on Word Segmentation for Chinese Machine Translation
    A. Gelbukh (Ed.): CICLing 2013, Part II, LNCS 7817, pp. 248-263, 2013

[2012]

  • Shaohua Yang, Hai Zhao, Xiaolin Wang and Bao-liang Lu
    Spell Checking for Chinese
    Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12), pages 730-736, Istanbul, Turkey, May, 2012

  • Chunyang Wu and Hai Zhao
    Regression with Phrase Indicators for Estimating MT Quality
    Proceedings of the 7th Workshop on Statistical Machine Translation of NAACL-2012, pages 152-156,Montreal, Quebec, Canada, June 7 - 8, 2012

  • Heming Shou and Hai Zhao
    Hybrid Rule-based Algorithm for Coreference Resolution
    Proceedings of the Joint Conference on EMNLP and CoNLL, pages 118-121, Jeju Island, Korea, July, 2012

  • Xiaotian Zhang, Chunyang Wu and Hai Zhao
    Chinese Coreference Resolution via Ordered Filtering
    Proceedings of the Joint Conference on EMNLP and CoNLL, pages 95-99, Jeju Island, Korea, July, 2012

  • Shaohua Yang, Hai Zhao and Bao-Liang Lu
    A Machine Translation Approach for Chinese Whole-Sentence Pinyin-to-Character Conversion
    PACLIC-26, Bali, Indonesia, November, 2012

  • Xiaotian Zhang, Yao Qian, Hai Zhao, Frank Soong
    Break index labeling of Mandarin text via syntactic-to-prosodic tree mapping
    The 8th International Symposium on Chinese Spoken Language Processing (ISCSLP-2012), Hong Kong, December 5-8, 2012

  • Xiaotian Zhang, Hai Zhao and Cong Hui
    A Machine Learning Approach to Convert CCGbank to Penn Treebank
    the 24th International Conference on Computational Linguistics (COLING 2012), pp.535-542, Mumbai, India, 8-15 December 2012

  • Qiongkai Xu and Hai Zhao
    Using Deep Linguistic Features for Finding Deceptive Opinion Spam
    the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, 8-15 December 2012

  • Xuezhe Ma and Hai Zhao
    Fourth-Order Dependency Parsing
    the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, 8-15 December 2012

[2011]

  • Jian Zhang, Hai Zhao, Liqing Zhang, Bao-Liang Lu
    An Empirical Comparative Study on Two Large-Scale Hierarchical Text Classification Approaches
    International Journal Computer Processing of Oriental Language (IJCPOL) 23(4):309-326 (2011)

  • Xiaolin Wang, Hai Zhao and Bao-Liang Lu
    Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification
    IJCNLP-2011, Chiang Mai, Thailand, November 9-11, 2011

  • Xiaotian Zhang and Hai Zhao
    Unsupervised Chinese Phrase Parsing Based on Tree Pattern Mining
    The 11th Confernece of China Computational Linguistics, Luoyang, China, August 20-22, 2011

  • Hai Zhao and Chunyu Kit
    Integrating unsupervised and supervised word segmentation: The role of goodness measures
    Information Sciences, Vol.181(1): 163-183, 2011, Elsevier



[2010]


[1] Hai Zhao, Chang-Ning Huang, Mu Li, and Bao-Liang Lu, A Unified Character-based Tagging method of Chinese Word Segmentation via Conditional Random Field Modeling, ACM Transaction on Asian Language Information Processing, in press, 2010

[2] Hai Zhao, Chunyu Kit, Unsupervised and Supervised Segmentation: The Role of Separated Goodness Measurement, Information Science, in press, 2010


[2009]


[3] SONG Yan, CAI Dong-Feng, ZHANG Gui-Ping, ZHAO Hai,An Approach to Chinese Word Segmentation based on Character-Word Joint Decoding, Journal of Software, Vol.20, No.9, pp.2366-2375, 2009


[4] Hai Zhao, Wenliang Chen, Chunyu Kit, Semantic Dependency Parsing of NomBank and PropBank: An Efficient Integrated Approach via a Large-scale Feature Selection, EMNLP 2009: conference on Empirical Methods in Natural Language Processing, pp.30-30, Singapore, August 6-7, 2009


[5] Junhui Li, Guodong Zhou, Hai Zhao, Qiaoming Zhu, Peide Qian, Improving Nominal SRL in Chinese Language with Verbal SRL Information and Automatic Predicate Recognition, EMNLP 2009: conference on Empirical Methods in Natural Language Processing, pp.1280-1288, Singapore, August 6-7, 2009


[6] Hai Zhao, Yan Song, Chunyu Kit, and Guodong Zhou,Cross Language Dependency Parsing using a Bilingual Lexicon,  Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2009), pp.55-63, Singapore, August 2-5, 2009


[7] Hai Zhao, Chunyu Kit, and Yan Song, Character Dependency Tree based Lexical and Syntactic All-in-one Parsing for Chinese, The 10th Chinese National Conference on Computational Linguistics (CNCCL-2009), pp.82-88, Yantai, China, July 24-26, 2009


[8] Hai Zhao, Wenliang Chen, Jun’ichi Kazama, Kiyotaka Uchimoto, and Kentaro Torisawa, Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies, Thirteenth Conference on Computational Natural Language Learning, (CoNLL-09), pp. 61-66, Boulder, CO, USA, June 4-5, 2009


[9] Hai Zhao, Wenliang Chen, Chunyu Kit, and Guodong Zhou, Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing, Thirteenth Conference on Computational Natural Language Learning, (CoNLL-09), pp. 55-60, Boulder, CO, USA, June 4-5, 2009


[10] Hai Zhao, Character-Level Dependencies in Chinese: Usefulness and Learning, The 12th Conference of the European Chapter of the Association for Computational Linguistics, (EACL-09), pp.879-887, Athens, Greece, March 30 - April 3, 2009


[11] Hai Zhao and Chunyu Kit, A Simple and Efficient Model Pruning Method for Conditional Random Fields, The 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL 2009), LNCS, Vol.5459, pp.149-159, Hong Kong, March 26-27, 2009
   
[2008]


[12] Hai Zhao and Chunyu Kit, Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models, Twelfth Conference on Computational Natural Language Learning, (CoNLL-2008), pp.203-207, Manchester, UK, August 16-17, 2008


[13] Hai Zhao and Chunyu Kit, Scaling Conditional Random Fields by One-Against-the-Other Decomposition, Journal of Computer Science and Technology, Vol. 23(4): 612-619, July, 2008


[14] Hai Zhao and Chunyu Kit, Exploiting Unlabeled Text with Different Unsupervised Segmentation Criteria for Chinese Word Segmentation, The 9th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2008), Haifa, Israel, February 17-23, 2008, Also in Research in Computing Science, Vol. 33: 93-104, 2008


[15] Hai Zhao and Chunyu Kit, Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition, The Sixth SIGHAN Workshop on Chinese Language Processing (SIGHAN-6), pp.106-111, Hyderabad, India, January 11-12, 2008


[16] Hai Zhao and Chunyu Kit, An Empirical Comparison of Goodness Measures for Unsupervised Chinese Word Segmentation with a Unified Framework, The Third International Joint Conference on Natural Language Processing (IJCNLP-2008), Vol. 1: 9-16, Hyderabad, India, January 8-10, 2008


[2007]


[17] Hai Zhao and Chunyu Kit, Effective Subsequence-based Tagging for Chinese Word Segmentation (in Chinese), Journal of Chinese Information Processing, Vol. 21(5): 8-13, 2007


[18] Hai Zhao and Chunyu Kit, Incorporating Global Information into Supervised Learning for Chinese Word Segmentation, The 10th Conference of the Pacific Association for Computational Linguistics (PACLING-2007),pp.66-74, Melbourne, Australia, September 19-21, 2007


[19] Hai Zhao and Chunyu Kit, Scaling Conditional Random Field with Application to Chinese Word Segmentation, The Third International Conference on Natural Computation (ICNC’07), Vol. 5: 95-99, Haikou, China, August 24-27, 2007


[20] Hai Zhao and Chunyu Kit, Subsequence-based Tagging for Chinese Word Segmentation: Find a Better Tagging Unit (in Chinese), In: Frontiers of Content Computing: Research and Application, Sun Maosong and Chen Qunxiu (Eds.), pp.45-51, Tsinghua University Press, The 9th Chinese National Conference on Computational Linguistics (CNCCL-2007, formerly JSCL-2007), Dalian, China, August 6-8, 2007


[21] Chang-Ning Huang and Hai Zhao, Chinese Word Segmentation: A Decade Review (in Chinese, Invited paper), Journal of Chinese Information Processing, Vol. 21(3): 8-20,2007

自然科学基金面上项目: 基于语言特性分析的互联网伪信息的自动识别与评估研究, 2012-2015

自然科学基金青年项目: 基于字依存的中文精细结构标注及其学习算法研究, 2010-2012

ACL-2017 parsing area co-chair

ACL-2016 publication co-chair

PACLIC 29 PC co-chair

ACM professional member

...

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