Postdoc Associate
Natural Language Processing Group at MIT CSAIL

I am a postdoc at MIT CSAIL, and a member of the Natural Language Processing group since October 2017. I am also part of the MLPDS Consortium. My advisor is Prof. Regina Barzilay. My research interests are in the areas of natural language processing, machine learning, with special interests in low-resource learning and its applications in information extraction. I obtained Ph.D. degree in computer science from the SCIR lab (led by Prof. Ting Liu) at Harbin Institute of Technology in 2017, under the supervision of Prof. Haifeng Wang (Baidu) and Prof. Wanxiang Che (HIT). From 2014 to 2015, I was a joint Ph.D. student at CLSP in Johns Hopkins University supervised by Prof. David Yarowsky. I received the Baidu Fellowship in 2015.

Email contact: jiang_guo (at) csail (dot) mit (dot) edu
Office: 32-G492, 32 Vassar Street (WFH since Mar. 2020)

Experience

• Joint Ph.D student, Johns Hopkins University, Oct. 2014 - Oct. 2015
• Visiting Student Research Collaborator, Princeton University, Sep. 2012 - Dec. 2012
• Intern, Baidu NLP, Apr. 2010 - Jun. 2010

Selected Papers [Google Scholar]

* indicates authors with equal contribution. ^‡ indicates the students I co-advised.

• Automated Chemical Reaction Extraction from Scientific Literature. Journal of Chemical Information and Modeling, 2021
  Jiang Guo*, A. Santiago Ibanez-Lopez*, Hanyu Gao, Victor Quach, Connor W. Coley, Klavs F. Jensen and Regina Barzilay
  [Code & Data] [ChemBERT at HuggingFace]


• Evaluating and Clustering Retrosynthesis Pathways with Learned Strategy. Chemical Science, 2021
  Yiming Mo, Yanfei Guan, Pritha Verma, Jiang Guo, Mike E. Fortunato, Zhaohong Lu, Connor W. Coley and Klavs F. Jensen
  [PDF] [Code]


• Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. The Web Conference, 2021
  Sicheng Zhao*, Yang Xiao*, Jiang Guo*, Xiangyu Yue*, Jufeng Yang, Ravi Krishna, Pengfei Xu and Kurt Keutzer
  


• Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers. EMNLP, 2019
  Adam Fisch*, Jiang Guo* and Regina Barzilay
  [PDF] [Code]


• Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing. EMNLP, 2019
  Yuxuan Wang^‡, Wanxiang Che, Jiang Guo, Yijia Liu and Ting Liu
  [PDF] [Code]


• GraphIE: A Graph-Based Framework for Information Extraction. NAACL, 2019
  Yujie Qian^‡, Enrico Santus, Zhijing Jin^‡, Jiang Guo and Regina Barzilay
  [PDF] [Code]


• Multi-Source Domain Adaptation with Mixture of Experts. EMNLP, 2018
  Jiang Guo, Darsh J Shah^‡ and Regina Barzilay
  [PDF] [Code]


• A Neural Transition-based Approach for Semantic Dependency Graph Parsing. AAAI, 2018
  Yuxuan Wang^‡, Wanxiang Che, Jiang Guo and Ting Liu
  [PDF] [Code]


• The HIT-SCIR System for End-to-End Parsing of Universal Dependencies. CoNLL 2017 (shared task, ranked 4/33)
  Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng and Ting Liu
  


• Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI, 2017
  Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu
  


• Distributed Representations for Cross-lingual Cross-task Natural Language Analysis. Ph.D. Thesis
  Jiang Guo
  


• A General Framework for Content-enhanced Network Representation Learning. arXiv, 2016
  Xiaofei Sun^‡, Jiang Guo, Xiao Ding, Ting Liu
  


• A Unified Architecture for Semantic Role Labeling and Relation Classification. COLING, 2016
  Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu, Jun Xu
  


• A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks. COLING, 2016
  Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu
  


• Exploring Segment Representations for Neural Segmentation Models. IJCAI, 2016
  Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu
  [PDF] [Code]


• A Distributed Representation-based Framework for Cross-lingual Transfer Parsing. JAIR, 2016
  Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu
  [PDF] [Code]


• A Representation Learning Framework for Multi-Source Transfer Parsing. AAAI, 2016
  Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu
  [PDF] [Code] [Data]


• Cross-lingual Dependency Parsing Based on Distributed Representations. ACL, 2015
  Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu
  [PDF] [Code]


• Learning Semantic Hierarchies: A Continuous Vector Space Approach. TASLP, 2015
  Ruiji Fu*, Jiang Guo*, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu
  


• Revisiting Embedding Features for Simple Semi-supervised Learning. EMNLP, 2014
  Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu
  [PDF] [Code]


• Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources. COLING, 2014
  Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu
  [PDF] [Data]


• Learning Semantic Hierarchies via Word Embeddings. ACL, 2014
  Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu
  [PDF] [Data: Dev, Test, Readme]

Book and Translation:

• Natural Language Processing: A Pre-trained Model Approach, Publishing House of Electronics Industry, 2021.07
  Wanxiang Che, Jiang Guo, Yiming Cui
  [Code & Slides]


• Neural Network Methods for Natural Language Processing, China Machine Press, 2018.05
  Yoav Goldberg (Author). Wanxiang Che, Jiang Guo, Weinan Zhang, Ming Liu (Translators)
  

Shared Tasks

• CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  The Fourth Place in 33 submissions of 131 registration teams.
• NLPTEA 2016 Shared Task: Chinese Grammatical Error Diagnosis (CGED)
  The First Place.

Academic Services

• Senior PC: AAAI (2021, 2022)
• Area Chair: CCL (2019, 2020), COLING (2022)
• Journal Reviewer: IEEE/ACM TASLP, ACM TIST, ACS JCIM
• Conference Reviewer: EMNLP, NAACL, ACL, NLPCC
• PC Member: Student Research Workshop of ACL (2016, 2017, 2018), NAACL (2017, 2018)
• PC Member: NAACL 2016 Workshop on Multilingual and Crosslingual Methods in NLP
• Reviewing Coordinator: ACL (2014), EMNLP (2014), NAACL (2015)

Miscellaneous

• How to Write a Good Paper and How to Give a Good Talk by Liang Huang
• "Knowing is not enough, we must apply. Willing is not enough, we must do." -- Johann Wolfgang von Goethe