Liang Shuailong

PhD Candidate

About Me

Hi, my name’s Liang Shuailong. I’m a PhD student in Singapore University of Technology and Design (SUTD), Singapore. I plan to graduate in Spring 2020. I am currently looking for internship opportunities to work on common sense related NLP research.

I do research on deep learning and natural language processing (NLP), and enjoy coding. Specifically, my research areas include fundamental NLP research, such as sequence labelling, as well as its applications in social science etc. Now I am very interested in how to integrate commonsense knowledge and knowledge graph information into NLP tasks such as Machine Reading Comprehension and Question Answering.

I am most skilled in: Deep Learning and Natural Language Processing. My CV can be downloaded here.

Publication

Blame Tie Extraction

https://arxiv.org/abs/1904.10637

Shuailong Liang, Olivia Nicol, Yue Zhang. 2019.Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. In Proceedings of Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA, 2019. (Acceptance rate: 16.2%)

Common Sense

Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li and Tian Gao. Does It Make Sense? and Why? A Testset For Commonsense Reasoning. The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019: Long paper). Florence, Italy, 2019.

Common Sense

Cunxiang Wang, Shuailong Liang, Yue Zhang and Xiaodan Zhu. Task Proposal for SemEval 2020: Commonsense Validation and Explanation. SemEval-2020: International Workshop on Semantic Evaluation.

Jie Yang, Yue Zhang, Shuailong Liang. Subword Encoding in Lattice LSTM for Chinese Word Segmentation. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019: Short paper). Minneapolis, USA, 2019.

Jie Yang, Shuailong Liang and Yue Zhang. Design Challenges and Misconceptions in Neural Sequence Labeling. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018). Santa Fe, USA, 2018. Best Paper Award: Most Reproducible Paper.

Education

SUTD

Ph.D

2015.9 - 2019.7

  • Advisor: Prof. Yue Zhang
  • Rearch interest: Question answering, Commonsense Reasoning, NLP applications in social science, fundamental NLP such as NER etc.
  • Award: President’s Graduate Fellowship
  • Publications: publicatations records on AAAI, ACL, NAACL and COLING.

ZJU

Bachelor of Engineering

2011.9 - 2015.6

  • Major: Digital Media Technology
  • Awards: Scholarship of National Training Base of Digital Media Technology

A Little More

Alongside my interests in deep learning and software engineering some of my other interests and hobbies are photograpy, traveling and cooking.

Checkout photos on Instagram! I also have a weekly updated tech blog.