Meishan Zhang(张梅山)

Research Interest

• NLP Applications: Sentiment Analysis and Opinion Mining
• Language Processing: Segmentation, Tagging, Syntax/Semantic Parsing, Generation
• Machine Learning (in particular, Deep Learning)

Eduction Experience

• 2010.03--2014.10, SCIR, Harbin Institute of Technology, Computer Science and Technology, Doctoral Degree, Supervisor: Ting Liu.
• 2005.09--2008.07, Graduate University of the Chinese Academy of Sciences, Computer Science and Technology, Master Degree, Supervisor: Lixiang Liu
• 2000.09--2004.07, China University of Geosciences(Wuhan), Physics, Bachelor Degree

Research Experience

• 2016.01 -- 2019.03, Heilongjiang University, China, Associate Professor
• 2014.11 -- 2015.11, SUTD, Postdoctoral Research Fellow, under the guide of Yue Zhang
• 2012.12 -- 2013.03, SUTD, Visiting Students, under the guide of Yue Zhang

Codes

• EGN3LDG: A lightweight NN libary for NLP (cpu only).
• BiaffineDParser: A re-implementation of Biaffine Dependency Parser in Pytorch. (Dynet Version)
• NNTranJSTagger: A simple and effective neural model for joint segmentation and tagging (Pytorch Version)
• In Progress (Redeveloped based on EGN3LDG): WordSegmentation, RelationExtraction, OpinionMining, ChineseParser

Academic Activities

• Area Chair of NLPCC 2018, NLPCC 2019, EMNLP 2019
• Reviewer of ACL 2016, ACL 2017, ACL 2018, ACL 2019, EMNLP 2017, EMNLP 2018, COLING 2016, COLING 2018, NAACL 2019, IJCAI 2018, IJCAI 2019, AAAI 2019

Publications

AAAI, IJCAI, ACL (especially for NLP) are top conferences in Artificial Intelligence (CCF A); EMNLP, COLING are also very important conferences in NLP (CCF B).

2019

• Meishan Zhang, Zhenghua Li, Guohong Fu and Min Zhang. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. In Proceedings of the NAACL 2019.
• Meishan Zhang, Peili Liang, Guohong Fu. Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling. In Proceedings of the NAACL 2019.
• Meishan Zhang, Qiansheng Wang, Guohong Fu. End-to-end neural opinion extraction with a transition-based model. Information Systems 2019.
• Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. Syntax-aware Neural Semantic Role Labeling. In Proceedings of the AAAI 2019.

  2018

• Duyu Tang, Meishan Zhang. Deep Learning in Sentiment Analysis. Book Chapter in Deep Learning in Natural Language Processing (Editors: Li Deng and Yang Liu). 2018. Springer.
• Meishan Zhang, Yue Zhang, Guohong Fu. Transition-Based Neural Word Segmentation Using Word-Level Features. Journal of Artificial Intelligence Research (JAIR) 2018.
• Nan Yu, Meishan Zhang, Guohong Fu. Transition-based Neural RST Parsing with Implicit Syntax Features. In Proceedings of the COLING 2018.
• Meishan Zhang, Nan Yu, Guohong Fu. A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP) 2018. bib
• YaoSheng Yang, Wenliang Chen, Meishan Zhang, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations. In Proceedings of the AAAI 2018.
• Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction. In Proceedings of the AAAI 2018.
• Liner Yang, Meishan Zhang, Yang Liu, Nan Yu, Maosong Sun, Guohong Fu. Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP) 2018.

  2017

• Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, Ting Liu. Transition-Based Disfluency Detection using LSTMs. In Proceedings of the EMNLP 2017.
• Meishan Zhang, Yue Zhang, Guohong Fu. End-to-End Neural Relation Extraction with Global Optimization. In Proceedings of the EMNLP 2017.
• Meishan Zhang, Guohong Fu, Nan Yu. Segmenting Chinese Microtext: Joint Informal-Word Detection and Segmentation with Neural Networks. In Proceedings of the IJCAI 2017.
• Fei Li, Meishan Zhang, Bo Tian, Bo Chen, Guohong Fu, Donghong Ji. Recognizing irregular entities in biomedical text via deep neural networks. Pattern Recognition Letters. 2017.
• Fei Li, Meishan Zhang, Guohong Fu, Donghong Ji. A neural joint model for entity and relation extraction from biomedical text. BMC Bioinformatics.
• Fei Li, Meishan Zhang, Guohong Fu, Donghong Ji. A Neural Joint Model for Extracting Bacteria and Their Locations. In Proceedings of the PAKDD 2016.
• Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Trans. Audio, Speech and Language Processing 25(3): 557-571 (TASLP), 2017

2016

• Meishan Zhang, Yue Zhang, Guohong Fu. Tweet Sarcasm Detection Using Deep Neural Network. In Proceedings of the COLING 2016. 2016.12.
• Duyu Tang, Meishan Zhang. Sentiment Analysis with Neural Networks. In Proceedings of the CCL 2016, Tutorials. 2016.10. slides by Duyu Tang and slides by Meishan Zhang
• Meishan Zhang, Yue Zhang, Guohong Fu. Transition-Based Neural Word Segmentation. In Proceedings of the ACL 2016. 2016.08. code
• Fei Li, Yue Zhang, Meishan Zhang, Donghong Ji. Joint Models for Extracting Adverse Drug Events from Biomedical Text. In Proceedings of the IJCAI 2016. code
• Meishan Zhang, Jie Yang, Zhiyang Teng, Yue Zhang. LibN3L:A Lightweight Package for Neural NLP. In Proceedings of the LREC 2016. resources
• Meishan Zhang, Yue Zhang, Duy Tin Vo. Gated Neural Networks for Targeted Sentiment Analysis. In Proceedings of the AAAI 2016. 2016.02. resources
• Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji. Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. In Proceedings of the AAAI 2016. 2016.02. code
• Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji. Context-Sensitive Twitter Sentiment Classification Using Neural Network. In Proceedings of the AAAI 2016. 2016.02. code
• Likun Qiu, Yue Zhang, Meishan Zhang. Dependency Tree Representations of Predicate-Argument Structures. In Proceedings of the AAAI 2016. 2016.02.

2015

• Meishan Zhang, Yue Zhang. Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing In Proceedings of the EMNLP 2015. 2015.09, pp 1316--1321, Lisbon, Portugal. resources
• Meishan Zhang, Yue Zhang, Duy Tin Vo. Neural Networks for Open Domain Targeted Sentiment In Proceedings of the EMNLP 2015. 2015.09, pp 612--621, Lisbon, Portugal. resources
• Tao Qian, Yue Zhang, Meishan Zhang, Donghong Ji. A Transition-based Model for Joint Segmentation, POS-tagging and Normalization In Proceedings of the EMNLP 2015. 2015.09, pp 1837--1846, Lisbon, Portugal.
• Rui Sun, Yue Zhang, Meishan Zhang, Donghong Ji. Event-Driven Headline Generation In Proceedings of the ACL 2015. 2015.07, pp 462--472, Beijing, China

2014

• Meishan Zhang, Wanxiang Che, Yanqiu Shao, Ting Liu. Jointly or Separately: Which is Better for Parsing Heterogeneous Dependencies? In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014). 2014.08, pp. 530-540, Dublin, Ireland. code
• Yue Zhang, Meishan Zhang, Ting Liu. Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. Tutorial In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (ACL 2014). 2014.06. Baltimore, Maryland.
• Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu. Character-Level Chinese Dependency Parsing. In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (ACL 2014). 2014.06, pp. 1326-1336, Baltimore, USA. resources.
• Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu. A Semantics Oriented Grammar for Chinese Treebanking. In Proceedings of 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing). 2014.04, pp. 366-378 (LNCS 8403). Kathmandu, Nepal.
• Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu. Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. In Proceedings of the 14th Conference of the European Chapter of the ACL (EACL 2014). 2014.04, pp. 588-597， Gothenburg, Sweden.data.

2013

• Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu. Chinese Parsing Exploiting Characters. In Proceedings of the 51th Annual Meeting of the Association for Computational Linguistics (ACL 2013). 2013.08. Sofia, Bulgaria. slides, resources.

2012

• Meishan Zhang, Wanxiang Che, Ting Liu, Zhenghua Li. Stacking Heterogeneous Joint Models of Chinese POS Tagging and Dependency Parsing. In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012). 2012.12, pp. 3071-3088. Mumbai, India
• Yijia Liu, Meishan Zhang, Wanxiang Che, Ting Liu, Yihe Deng. Micro blogs Oriented Word Segmentation System. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing. 2012
• Meishan Zhang, Wanxiang Che, Ting Liu. Multiple TreeBanks Integration for Chinese Phrase Structure Grammar Parsing Using Bagging. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing. 2012
• Meishan Zhang, Wanxiang Che, Yanqiu Shao, Ting Liu. Improve Chinese Semantic Dependency Parsing via Syntactic Dependency Parsing. In Proceedings of International Conference on Asian Language Processing 2012 (IALP 2012)
• Wanxiang Che, Meishan Zhang, Yanqiu Shao, Ting Liu. SemEval-2012 Task 5: Chinese Semantic Dependency Parsing. The First Joint Conference on Lexical and Computational Semantics(SemEval2012). 2012.06, pp385--393.
• Meishan Zhang, Wanxiang Che, Yijia Liu, Zhenghua Li, Ting Liu. HIT dependency parsing: Bootstrap aggregating heterogeneous parsers.. In Notes of the First Workshop on Syntactic Analysis of Non-Canonical Language (SANCL). 2012.06.
• Meishan Zhang, Zhilong Deng, Wanxiang Che, Ting Liu. Combining Statistical Model and Dictionary for Domain Adaption of Chinese Word Segmentation. Journal of Chinese Information Processing. 2012, 26 (2) : 8-12 (in Chinese)

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