Short-bio
I am a Ph.D in Harbin Institute of Technology, affiliated with the center for Social Computing and Information Retrieval (SCIR). I am advised by Wanxiang Che, Haifeng Wang and Ting Liu. My research interests are in the areas of natural language processing, machine learning, with special interests on distributed representation learning and its applications on NLP tasks (mostly structure prediction problems). From 2014 to 2015, I am a joint Ph.D student at the Center for Language and Speech Processing (CLSP), Johns Hopkins University, supervised by David Yarowsky. Prior to that, I received my Bachelors and Masters degrees in Computer Science and Technology from Harbin Institute of Technology, Harbin, China. I received the Baidu Fellowship in 2015.
I joined the NLP Group at MIT CSAIL in October, 2017. Check my new homepage.
E-mail: jguo[at]ir.hit.edu.cn, jguo29[at]jhu.edu
Find me in: Github, Weibo, Quora, Google Scholar
Research Interests
- Distributed representation learning for NLP (deep learning, spectral learning, clustering, etc.).
- Linguistic structure prediction (sequence modeling, parsing).
- Multilingual/Cross-lingual transfer learning and Multi-task Learning.
- Recently I am very interested in Reinforcement Learning and Interpretable Machine Learning.
Professional Activities
- Reviewing Coordinator: ACL 2014, EMNLP 2014, NAACL 2015 - Mark Dredze (JHU) and I developed a software for Automatical Reviewer Assignment ([doc], [code]) which has been used in multiple ACL affiliated conferences.
- Secondary Reviewer: ACL 2015, IJCAI 2016
- Reviewer: EMNLP 2015, NAACL 2016, ACL 2016, NLPCC 2016, ACL 2017, EMNLP 2017
- Program Committee: NAACL-2016 Workshop on Multilingual and Cross-lingual Methods in NLP
- Program Committee: ACL-2016 Student Research Workshop
- Program Committee: ACL-2017 Student Research Workshop
Academic/Industrial Experiences
- 2014.10-2015.10 Joint Ph.D student at Johns Hopkins University. My advisor is David Yarowsky
- 2012.09-2012.12 Visiting Student Research Collaborator at ORFE in Princeton University, working with Han Liu
- 2010.04-2010.06 Internship at Baidu Inc., China. Worked on: Query-oriented dependency parsing
Teaching
- 2013-fall TA, Course: Chinese Information Processing, Prof. Ting Liu
- 2010-fall TA, Course: High Level Programming Language (C/C++), Prof. Wanxiang Che
Invited Talks
- 2016.09.20 Representation Learning for Multilingual Parsing. Microsoft Research Asia Ph.D. Forum 2016. Beijing, China. (Email for slides)
- 2015.10.26 Representation Learning for Cross-lingual Transfer Parsing. Carnegie Mellon University, LTI. Pittsburg, USA. (Email for slides)
- 2015.08.04 Deep Learning for Natural Language Processing. MeiTuan. Beijing, China. (Email for slides)
Projects and Achievements
- 2017: 4th place in CoNLL-2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies (out of 33 submitted systems and 113 registered teams)
- 2015: Baidu Research Fellowship (Awarded to 10 Chinese students all around the world.)
- 2014: National Graduate Scholarship
- 2014.01-2017.12: Research on Sub-Strucutre Reliability Computing of Dependency Syntactic Parsing(61370164), National Natural Science Fund (NSFC), Main Researcher.
- 2013.06-2014.01: Project: Semantic Role Labeling, with Sony Corporation.
- 2013.10: The second place of 2013 HIT's Martial Arts Competition (Tai Chi)
- 2013.03-2013.05: Project: Chinese Weibo Dependency Treebank Construction, with Datatang.
- 2012.06: "Outstanding Graduates of HeiLongJiang Province" Award
- 2012.01-2012.04: Project: Graph-based and Transition-based Dependency Parsing Tools, with Tencent.
- 2011.08: Outstanding Paper Award at the Annual Conference of the Computer Society of Heilongjiang Province
- 2011.06-2013.06: Language Technology Platform (LTP), one of the programmers, maintainer.
- 2010.07-2010.09: Project: Large-scale Chinese Dependency Treebank Construction. Co-PI. This corpora has been published on LDC
- 2009.06-2010.02: Open-source Project: Measure of Report Similarity. Excellent Student Innovation Project of 2009. China Innovation Program for Students (CHIPS)
- 2009.08: The third prize of 2009 National Information Security Competition, Project Leader
- 2009.04: The second prize of the American Mathematical Contest in Modeling (MCM), Team Leader
Selected Publications
- Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng and Ting Liu. The HIT-SCIR System for End-to-End Parsing of Universal Dependencies. CoNLL, 2017 (shared task, ranked 4/33). * Errata: "qa" in Table 1 should be "ga".
- Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu. Effective Deep Memory Networks for Distant Supervised Relation Extraction. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI). 2017.08. Melbourne, Australia.
- Jiang Guo. Distributed Representations for Cross-lingual Cross-task Natural Language Analysis. Harbin Institute of Technology, Ph.D Thesis (in Chinese). 2017.03.
- Xiaofei Sun, Jiang Guo, Xiao Ding, Ting Liu. A General Framework for Content-enhanced Network Representation Learning. arXiv, 2016. [code]
- Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu, Jun Xu. A Unified Architecture for Semantic Role Labeling and Relation Classification. In Proceedings of the 26th International Conference on Computational Linguistics (COLING). 2016.12. Osaka, Japan. [code]
- Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu. A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks. In Proceedings of the 26th International Conference on Computational Linguistics (COLING). 2016.12. Osaka, Japan. [code]
- Yuxuan Wang, Jiang Guo, Wanxiang Che, Ting Liu. Transition-based Chinese Semantic Dependency Graph Parsing. In Proceedings of the 15th China National Conference on Computational Linguistics (CCL), Yantai, China, 2016. (best paper award)
- Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu. Exploring Segment Representations for Neural Segmentation Models. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI). 2016.07. New York City, USA. [code]
- Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu. A Distributed Representation-Based Framework for Cross-Lingual Transfer Parsing. Journal of Artificial Intelligence Research (JAIR). 2016, 55:995-1023. * This is a thoroughly extended version of the ACL-15 paper. Extensions primarily include target language adaptation with minimal supervision.
- Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu. A Representation Learning Framework for Multi-Source Transfer Parsing. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI). 2016.02. Phoenix, AZ, USA. * Data: multilingual/unified word embeddings and clusters for EN, DE, ES, FR, PT, IT, SV
- Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu. Cross-lingual Dependency Parsing Based on Distributed Representations. In Proceedings of the 53nd Annual Meeting of the Association for Computational Linguistics (ACL). 2015.07. Beijing, China. [code and data]
- Ruiji Fu*, Jiang Guo* (equal contribution), Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu. Learning Semantic Hierarchies: A Continuous Vector Space Approach. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 2015, 23(3):461-471.
- Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu. Revisiting Embedding Features for Simple Semi-supervised Learning. In 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014.10. Doha, Qatar. [code and data]
- Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu. Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources. In Proceedings of the 25th International Conference on Computational Linguistics (COLING). 2014.08. Dublin, Ireland.
- Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu. Learning Semantic Hierarchies via Word Embeddings. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL). 2014.06. Baltimore, MD. [data: dev, test, readme]
- Wanxiang Che, Jiang Guo, and Ting Liu. ReliAble Dependency Arc Recognition. Expert Systems with Applications. 2014, 41(4):1716-1722.
- Jiang Guo. Confidence Measure in Dependency Parsing. Harbin Institute of Technology, Master Thesis (in Chinese). 2012.07. Slides.
Selected Notes and Slides
- [Note] Cross-lingual Word Representation Learning. (in Chinese)
- [Slides] Deep Q-Learning.
- [Slides] Deep Learning for NLP: A Survey.
- [Note] Recurrent Neural Network: BackPropagation Through Time.
- [Slides] Gaussian Graphical Models: Structure Estimation.
- [Slides] A Simple Tutorial on Theano.
- [Slides] Inference in Graphical Models.
Technical Skills
- Programming Languages: C/C++, Python, R, Matlab, Shell, Java, LaTeX
- Operating Systems: Linux, Windows
- Experiences: SVN, Git, Vim, MySQL, Django
Some Useful Links: ACL Anthology | NLP Bibs | arXiv (CL)