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

  [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

  [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