natural language processing, machine learning, data mining and bioinformatics

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

NSFC No. 60903119: Character-level Dependency Tree based Annotation and Learning for Chinese Fine Structure

natural language processing

[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