Meishan Zhang(张梅山)

招生

研究兴趣

• 基础语法分析：中文分词、词性标注、命名实体、依存分析
• 逻辑语义分析、自然语言生成等
• NLP相关应用：情感分析、意见挖掘、语义助手、多模态交互
• 机器学习(特别是深度学习)

教育经历

• 2010.03--2014.10,  哈工大社会计算与信息检索研究中心, 计算机博士， 导师：刘挺
• 2005.09--2008.07, 中科院软件所 计算机硕士学位，导师：刘立祥
• 2000.09--2004.07, 中国地质大学(武汉)、物理学学士学位

研究经历

• 2016.01 -- 2019.03, 黑龙江大学, 副教授
• 2014.11 -- 2015.11, 新加坡科技设计大学 博士后，导师：张岳
• 2012.12 -- 2013.03, 新加坡科技设计大学 访问学者， 导师：张岳

(协助)学生指导

• 2021: 陈卉垚, 那惟勒, 胡松林, 蒋功耀, 栗丽婷, 史元钧，吴秋彤, 袁子瑞, 李俊林，李建玲(博)
• 2020: 曹议丹, 郭培溟, 林智超, 江沛杰, 卢攀忠, 张鑫, 张帆, 赵煜(博)
• 2019: 吴林志
• 2018: 黄洪, 甄冉冉(黑龙江大学), 梁培力(黑龙江大学), 公左权(贵州财经大学)
• 2017: 刘宗林(黑龙江大学)
• 2016: 余南(黑龙江大学)
• 2014: 潘达 (黑龙江大学)

• 哈工大社会计算与信息检索研究中心(SCIR)
• 张岳，西湖大学
• 付国宏，苏州大学人工智能研究院
• 杨麟儿，北京语言大学
• 姬东鸿，武汉大学
• 李正华，苏州大学人类语言技术研究所

• EGN3LDG: NLP轻量级神经网络库 (cpu only).
• BiaffineDParser: 重现Biaffine Dependency Parser in Pytorch. (Dynet Version)
• NNTranJSTagger: 简单有效的分词词性NN联合模型 (Pytorch Version)
• 计划中(依托EGN3LDG重新开发): WordSegmentation（分词）, RelationExtraction（关系抽取）, OpinionMining（意见挖掘）, ChineseParser（中文句法）

笔记

• 自然语言处理导论.
• 如何设计一个简单的神经网络库.

学术活动

• 领域主席：NLPCC 2018, NLPCC 2019, EMNLP 2019, EMNLP 2021, CCL 2020, NLPCC 2021(SW), IJCAI 2021 (SPC)
• 审稿：ACL (2016-2021), EMNLP (2017-2021), COLING (2016-2020), NAACL (2019-2021), IJCAI (2018-2021), AAAI (2019-2021)

论文

AAAI, IJCAI, ACL为中国计算机学会推荐列表A类国际学术会议; EMNLP, COLING为B类国际学术会议

2022

• Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Xiaobin Wang, Min Zhang. Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations. In Proceedings of the ACL 2022. (通讯)
• Nan Yu, Meishan Zhang, Guohong Fu, Min Zhang. RST Discourse Parsing with EDU-Level Pretraining. In Proceedings of the ACL 2022.
• Shuang Liu, Fan Zhang, Baiyang Zhao, Renjie Guo, Tao Chen, Meishan Zhang. APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis. Frontiers of Computer Science 2022. (通讯)
• Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang. AISHELL-NER: Named Entity Recognition from Chinese Speech. In Proceedings of the ICASSP 2022.
• Yuting Yang, Pei Huang, FeiFei Ma, Juan Cao, Meishan Zhang, Jian Zhang and Jintao Li. Quantifying Robustness to Adversarial Word Substitutions. In Arxiv CS.CL 2022.
• Hao Fei, Jingye Li, Yafeng Ren, Meishan Zhang and Donghong Ji. Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse Reasoning. In Proceedings of the WWW 2022.
• Shengqiong Wu, Hao Fei, Fei Li, Donghong Ji, Meishan Zhang, Yijiang Liu and Chong Teng. Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling. In Proceedings of the AAAI 2022.
• Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji and Fei Li. Unified Named Entity Recognition as Word-Word Relation Classification. In Proceedings of the AAAI 2022.

2021

• Peijie Jiang, Dingkun Long, Yueheng Sun, Meishan Zhang, Guangwei Xu and Pengjun Xie. A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging. In Proceedings of the EMNLP 2021. (通讯)
• ZhiChao Lin, Yueheng Sun and Meishan Zhang. A Graph-Based Neural Model for End-to-End Frame Semantic Parsing. In Proceedings of the EMNLP 2021. (通讯)
• Ranran Zhen, Rui Wang, Guohong Fu, Chengguo Lv and Meishan Zhang. Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study. In Proceedings of the EMNLP 2021.
• Ying Li, Meishan Zhang, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai and Nicholas Jing Yuan. APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing. In Proceedings of the EMNLP Findings 2021.
• Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang and Pengjun Xie. Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition. In Proceedings of the ACL 2021. (通讯)
• Fei Li, Zhicao Lin, Meishan Zhang and Donghong Ji. A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition. In Proceedings of the ACL 2021.
• Tao Qian, Meishan Zhang, Yinxia Lou and Wenhua Dai. A Joint Model for Named Entity Recognition with Sentence-Level Entity Type Attentions. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP, CCF B, 通讯) 2021.
• Linzhi Wu, Meishan Zhang. Deep Graph-based Character-Level Chinese Dependency Parsing. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP, CCF B, 通讯) 2021.
• Hao Fei, Meishan Zhang, Bobo Li and Donghong Ji. End-to-end Semantic Role Labeling with Neural Transition-based Model. In Proceedings of the AAAI 2021.
• Shuang Liu, Baiyang Zhao, Renjie Guo, Guozhu Meng, Fan Zhang, Meishan Zhang. Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13. In Proceedings of WWW 2021. (CCF A, 通讯)
• Meishan Zhang, Zhenghua Li, Guohong Fu and Min Zhang. Dependency-Based Syntax-Aware Word Representations. Artificial Intelligence (AIJ, CCF A). code

2020

• Yijiang Liu, Meishan Zhang and Donghong Ji. End to End Chinese Lexical Fusion Recognition with Sememe Knowledge. In Proceedings of the COLING 2020.
• Hao Fei, Meishan Zhang, Fei Li and Donghong Ji. Cross-Lingual Semantic Role Labeling With Model Transfer. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP, CCF B) 2020.
• Meishan Zhang and Yue Zhang. Cross-Lingual Dependency Parsing via Self-Training. In Proceedings of the CCL 2020.
• Meishan Zhang. A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures. SCIENCE CHINA Technological Sciences 2020.
• Qiankun Fu, Yue Zhang, Jiangming Liu and Meishan Zhang. DRTS Parsing with Structure-Aware Encoding and Decoding. In Proceedings of the ACL 2020. (通讯)
• Hao Fei, Meishan Zhang and Donghong Ji. Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus. In Proceedings of the ACL 2020. (通讯)

2019

• Meishan Zhang, Yue Zhang and Guohong Fu. Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. In Proceedings of the EMNLP 2019. code
• 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. code
• Meishan Zhang, Peili Liang and Guohong Fu. Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling. In Proceedings of the NAACL 2019. code
• Meishan Zhang, Qiansheng Wang and Guohong Fu. End-to-end neural opinion extraction with a transition-based model. Information Systems 2019. (CCF B)
• Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang and 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 and Guohong Fu. Transition-Based Neural Word Segmentation Using Word-Level Features. Journal of Artificial Intelligence Research (JAIR) 2018. (CCF B)
• Nan Yu, Meishan Zhang and Guohong Fu. Transition-based Neural RST Parsing with Implicit Syntax Features. In Proceedings of the COLING 2018.
• Meishan Zhang, Nan Yu and Guohong Fu. A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP, CCF B) 2018. bib
• YaoSheng Yang, Meishan Zhang, Wenliang Chen, Haofen Wang, Wei Zhang and 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 and 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 and Guohong Fu. Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks. IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP, CCF B) 2018.

  2017

• Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang and Ting Liu. Transition-Based Disfluency Detection using LSTMs. In Proceedings of the EMNLP 2017.
• Meishan Zhang, Yue Zhang and Guohong Fu. End-to-End Neural Relation Extraction with Global Optimization. In Proceedings of the EMNLP 2017.
• Meishan Zhang, Guohong Fu and 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 and Donghong Ji. Recognizing irregular entities in biomedical text via deep neural networks. Pattern Recognition Letters. 2017.
• Fei Li, Meishan Zhang, Guohong Fu and Donghong Ji. A neural joint model for entity and relation extraction from biomedical text. BMC Bioinformatics.
• Fei Li, Meishan Zhang, Guohong Fu and 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 and Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Trans. Audio, Speech and Language Processing 25(3): 557-571 (TASLP, CCF B), 2017

2016

• Meishan Zhang, Yue Zhang and Guohong Fu. Tweet Sarcasm Detection Using Deep Neural Network. In Proceedings of the COLING 2016. 2016.12.
• Duyu Tang and 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 and Guohong Fu. Transition-Based Neural Word Segmentation. In Proceedings of the ACL 2016. 2016.08. code
• Fei Li, Yue Zhang, Meishan Zhang and 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 and Yue Zhang. LibN3L:A Lightweight Package for Neural NLP. In Proceedings of the LREC 2016. resources
• Meishan Zhang, Yue Zhang and 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 and Donghong Ji. Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. In Proceedings of the AAAI 2016. 2016.02. (通讯) code
• Yafeng Ren, Yue Zhang, Meishan Zhang and Donghong Ji. Context-Sensitive Twitter Sentiment Classification Using Neural Network. In Proceedings of the AAAI 2016. 2016.02. (通讯) code
• Likun Qiu, Yue Zhang and Meishan Zhang. Dependency Tree Representations of Predicate-Argument Structures. In Proceedings of the AAAI 2016. 2016.02.

2015

• Meishan Zhang and 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 and 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 and 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. (通讯)
• Rui Sun, Yue Zhang, Meishan Zhang and Donghong Ji. Event-Driven Headline Generation In Proceedings of the ACL 2015. 2015.07, pp 462--472, Beijing, China (通讯)

2014

• Meishan Zhang, Wanxiang Che, Yanqiu Shao and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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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