Meishan Zhang(张梅山)

Research Interest

• Parsing: Syntax Parsing, Semantic Parsing
• Large Language Model: Optimization, Inference
• Information Extraction: Event Analysis, Relation Extraction, Sentiment Analysis
• Intelligent Semantic Assistant: Domain-Specific(code, technology, etc.), Multimodal Interaction, etc

Eduction Experience

• 2010.03--2014.10, SCIR, Harbin Institute of Technology, Computer Science and Technology, Doctoral Degree, Supervisor: Wanxiang Che, 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

• 2019.04 -- 2023.08, Tianjin University, China, Associate Professor
• 2015.12 -- 2019.03, Heilongjiang University, China, Associate Professor
• 2014.11 -- 2015.11, SUTD, Postdoctoral Research Fellow, 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)

Academic Activities

• Area Chair：ACL 2023, EMNLP 2019, EMNLP 2021, EMNLP 2022(SAC), EMNLP 2023, COLING 2022, COLING 2024, IJCAI 2021(SPC),
  AAAI 2023(SPC), EACL 2024, NAACL 2024, AACL-IJCNLP 2022, NLPCC 2018, NLPCC 2019, NLPCC 2021(SW), CCL 2020
• Reviewer: ACL (2016-2021), EMNLP (2017-2021), COLING (2016-2020), NAACL (2019-2021), IJCAI (2018-2021), AAAI (2019-2021)

Publications

Preprints

1. RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement.
   Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang and Min Zhang.
2. Language Models are Universal Embedders.
   Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang and Min Zhang.
3. Towards general text embeddings with multi-stage contrastive learning.
   Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie and Meishan Zhang.
4. XNLP: An Interactive Demonstration System for Universal Structured NLP.
   Hao Fei, Meishan Zhang, Min Zhang and Tat-Seng Chua.
5. Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm.
   Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu and Min Zhang.

2024

1. LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsing.
   Meishan Zhang, Gongyao Jiang, Shuang Liu, Jing Chen and Min Zhang.
   Computational Linguistics. 2024.
2. Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training.
   Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie and Min Zhang
   In Proceedings of LREC-COLING 2024.
3. In-Context Learning for Few-Shot Nested Named Entity Recognition.
   Meishan Zhang, Bin Wang, Hao Fei and Min Zhang
   In Proceedings of ICASSP 2024.

2023

1. Automatic Noise Generation and Reduction for Text Classification.
   Huiyao Chen, Yueheng Sun, Meishan Zhang and Min Zhang.
   IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 2023.
2. Fine-Grained Domain Adaptation for Chinese Syntactic Processing.
   Meishan Zhang, Peiming Guo, Peijie Jiang, Dingkun Long, Yueheng Sun, Guangwei Xu, Pengjun Xie and Min Zhang.
   ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2023
3. LLM-enhanced Self-training for Cross-domain Constituency Parsing.
   Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang and Yue Zhang.
   In Proceedings of the EMNLP 2023.
4. PromptST: Abstract Prompt Learning for End-to-End Speech Translation.
   Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao and Min Zhang.
   In Proceedings of the EMNLP 2023.
5. Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling.
   Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang and Tat-Seng Chua.
   In Proceedings of the 31st ACM International Conference on Multimedia (MM) 2023.
6. Joint Cross-Domain and Cross-Lingual Adaptation for Chinese Opinion Element Extraction.
   Ruoding Zhang, Meishan Zhang and Xiaoyi Song.
   In Proceedings of the NLPCC 2023.
7. Finetuning Language Models for Multimodal Question Answering.
   Xin Zhang*, Wen Xie*, Ziqi Dai*, Jun Rao, Haokun Wen, Xuan Luo, Meishan Zhang and Min Zhang.
   In Proceedings of the 31st ACM International Conference on Multimedia (MM Workshop) 2023.
8. Chinese Event Discourse Deixis Resolution: Design of the Dataset and Model.
   Dongdong Xie, Fei Li, Bobo Li, Chong Teng, Donghong Ji and Meishan Zhang.
   ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2023
9. Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation.
   Yibo Cui, Liang Xie, Yakun Zhang, Meishan Zhang, Ye Yan and Erwei Yin.
   In Proceedings of the ICCV 2023.
10. A Pilot Study on Dialogue-Level Dependency Parsing for Chinese.
    Gongyao Jiang, Shuang Liu, Meishan Zhang and Min Zhang.
    In Proceedings of the ACL Findings 2023.
11. Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination.
    Hao Fei, Qian Liu, Meishan Zhang, Min Zhang and Tat-Seng Chua.
    In Proceedings of the ACL 2023.
12. Generating Visual Spatial Description via Holistic 3D Scene Understanding.
    Yu Zhao, Jianguo Wei, Hao Fei, Wei Ji, Meishan Zhang, Min Zhang and Tat-Seng Chua.
    In Proceedings of the ACL 2023.
13. Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Structured Information Extraction.
    Hao Fei, Meishan Zhang, Min Zhang and Tat-Seng Chua.
    In Proceedings of the ACL Findings 2023.
14. Improving Simultaneous Machine Translation with Monolingual Data.
    Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao and Min Zhang.
    In Proceedings of the AAAI 2023.
15. Enhancing RDF Verbalization with Descriptive and Relational Knowledge.
    Fan Zhang, Meishan Zhang, Shuang Liu, Yueheng Sun and Nan Duan.
    ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2023.
16. APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis.
    Shuang Liu, Fan Zhang, Baiyang Zhao, Renjie Guo, Tao Chen and Meishan Zhang.
    Frontiers of Computer Science 2023.

2022

1. Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer.
   Peiming Guo, Shen Huang, Peijie Jiang, Yueheng Sun, Meishan Zhang and Min Zhang.
   IEEE/ACM Trans. Audio, Speech and Language Processing (TASLP) 2022.
2. Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling.
   Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang and Min Zhang.
   In Proceedings of the EMNLP 2022.
3. Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation.
   Yu Zhao, Jianguo Wei, ZhiChao Lin, Yueheng Sun,Meishan Zhang and Min Zhang.
   In Proceedings of the EMNLP 2022.
4. Extending Phrase Grounding with Pronouns in Visual Dialogues.
   Panzhong Lu, Xin Zhang, Meishan Zhang and Min Zhang.
   In Proceedings of the EMNLP 2022.
5. Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.
   Hao Fei, Shengqiong Wu, Libo Qin, Jingye Li, Bobo Li, Fei Li, Meishan Zhang, Min Zhang and Tat-Seng Chua.
   In Proceedings of the NeurIPS 2022.
6. On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART.
   Zebin Ou, Meishan Zhang and Yue Zhang.
   In Proceedings of the COLING 2022.
7. Domain-Specific NER via Retrieving Correlated Samples.
   Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie and Meishan Zhang.
   In Proceedings of the COLING 2022.
8. Matching Structure for Dual Learning.
   Hao Fei, Shengqiong Wu, Yafeng Ren and Meishan Zhang.
   In Proceedings of the ICML 2022.
9. Vision–Language Navigation With Beam-Constrained Global Normalization.
   Liang Xie, Meishan Zhang, You Li, Wei Qin, Ye Yan and Erwei Yin.
   IEEE Transactions on Neural Networks and Learning System (TNNLS) 2022.
10. Fake news detection via knowledgeable prompt learning.
    Gongyao Jiang, Shuang Liu, Yu Zhao, Yueheng Sun and Meishan Zhang.
    Information Processing & Management 2022.
11. Contrastive learning from label distribution: A case study on text classification.
    Tao Qian, Fei Li, Meishan Zhang, Guonian Jin, Ping Fan and Wenhua Dai.
    Neurocomputing 2022.
12. Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting.
    Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu and Min Zhang.
    In Proceedings of the NAACL 2022.
13. Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations.
    Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Xiaobin Wang and Min Zhang.
    In Proceedings of the ACL 2022.
14. RST Discourse Parsing with Second-Stage EDU-Level Pre-training.
    Nan Yu, Meishan Zhang, Guohong Fu, Min Zhang.
    In Proceedings of the ACL 2022.
15. AISHELL-NER: Named Entity Recognition from Chinese Speech.
    Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang.
    In Proceedings of the ICASSP 2022.
16. Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse Reasoning.
    Hao Fei, Jingye Li, Yafeng Ren, Meishan Zhang and Donghong Ji.
    In Proceedings of the WWW 2022.
17. Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling.
    Shengqiong Wu, Hao Fei, Fei Li, Donghong Ji, Meishan Zhang, Yijiang Liu and Chong Teng.
    In Proceedings of the AAAI 2022.
18. Unified Named Entity Recognition as Word-Word Relation Classification.
    Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji and Fei Li.
    In Proceedings of the AAAI 2022.

2021

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

2020

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

2019

1. Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank.
   Meishan Zhang, Yue Zhang and Guohong Fu.
   In Proceedings of the EMNLP 2019. code
2. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations.
   Meishan Zhang, Zhenghua Li, Guohong Fu and Min Zhang.
   In Proceedings of the NAACL 2019. code
3. Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling.
   Meishan Zhang, Peili Liang and Guohong Fu.
   In Proceedings of the NAACL 2019. code
4. End-to-end neural opinion extraction with a transition-based model.
   Meishan Zhang, Qiansheng Wang and Guohong Fu.
   Information Systems 2019. (CCF B)
5. Syntax-aware Neural Semantic Role Labeling.
   Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang and Luo Si.
   In Proceedings of the AAAI 2019.

2018

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

2017

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

2016

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

2015

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

2014

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

2013

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

2012

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

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