About

Hi! My name is Zhijiang Guo (郭志江). I am a Postdoc at the Department of Computer Science and Technology at the University of Cambridge, working with Prof. Andreas Vlachos. I am also a member of the Trinity College.

Before that, I was in ILCC at the University of Edinburgh, working with Prof. Shay Cohen, Prof. Giorgio Satta, Prof. Frank Drewes and Prof. Johanna Björklund on AMR Parsing. I earned my PhD in Computer Science from SUTD, under the supervision of Prof. Wei Lu. I also learn a lot from Dr. Zhiyang Teng.

I am most interested in structures (tree, graph, etc.) from text. How to predict the structures and apply them to different NLP tasks. Currently, I am working on automated fact-checking.

Feel free to contact me if your research lies within these or related areas!

[Github] [Linkedin] [Google Scholoar] [Twitter]

Publications

^* denotes equal contribution.

• A Survey on Automated Fact-Checking

  Zhijiang Guo^*, Michael Schlichtkrull^*, Andreas Vlachos

  TACL 2022, Poster at ACL 2022

  [Paper] [Code] [Slides] [Poster] [Video]

• CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking

  Xuming Hu^*, Zhijiang Guo^*, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu

  NAACL 2022, Long paper (Oral)

  [Paper] [Code] [Dataset] [Slides]

• METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets

  Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo^*, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

  NeurIPS 2022, Long paper (Dataset and benchmark)

  [Paper] [Code] [Dataset]

• Scene Graph Modification as Incremental Structure Expanding

  Xuming Hu^*, Zhijiang Guo^*, Yu Fu, Lijie Wen, Philip S. Yu

  COLING 2022, Long paper

  [Paper] [Code] [Dataset]

• FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

  Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal

  NeurIPS 2021, Long paper (Dataset and benchmark)

  [Paper] [Code] [Website] [Dataset] [Talk]

• Uncovering Main Causalities for Long-tailed Information Extraction

  Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu

  EMNLP 2021, Long paper (Oral)

  [Paper] [Code] [Talk]

• Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

  Yan Zhang^*, Zhijiang Guo^*, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing

  EMNLP 2020, Long paper (Oral)

  [Paper] [Code] [Talk] [Slides]

• Learning Latent Forests for Medical Relation Extraction

  Zhijiang Guo^*, Guoshun Nan^*, Wei Lu, Shay B. Cohen

  IJCAI 2020, Long paper (Oral)

  [Paper] [Code] [Talk] [Slides] [PPT] [Poster]

• Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

  Guoshun Nan^*, Zhijiang Guo^*, Ivan Sekulic, Wei Lu

  ACL 2020, Long paper (Oral)

  [Paper] [Code] [Talk] [Slides]

• Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  Zhijiang Guo^*, Yan Zhang^*, Zhiyang Teng, Wei Lu

  TACL 2019, Oral at ACL 2019

  [Paper] [Code] [Talk] [Slides]

• Attention Guided Graph Convolutional Networks for Relation Extraction

  Zhijiang Guo^*, Yan Zhang^*, Wei Lu

  ACL 2019, Long Paper (Oral)

  [Paper] [Code] [Talk] [Slides]

• Better Transition-Based AMR Parsing with a Refined Search Space

  Zhijiang Guo, Wei Lu

  EMNLP 2018, Long Paper (Poster)

  [Paper] [Code] [Poster]

Thesis

• Learning with Graphs in Natural Language Processing

  Zhijiang Guo

  PhD Thesis

  [Paper] [Slides]

Education

• The University of Edinburgh, 2019-2020

  Computer Science, Advisor: Prof. Shay Cohen

• Singapore University of Technology and Design, 2016-2020

  Computer Science, Advisor: Prof. Wei Lu

• Sun Yat-sen University, 2010-2014

Academic Services

• Area Chair: EMNLP 2022
• Senior Program Committee: AAAI 2023, IJCAI 2021
• Program Committee: ACL ARR/ACL/EMNLP/NAACL/NeurIPS/ICLR/COLING/EACL/AAAI/IJCAI/AKBC/ACML
• Journal: TALLIP/TASLP/TOIS/Neural Computing/Natural Language Engineering/Database/Machine Learning/AI Communications