Extraction

Manling Li, Ruochen Xu, Shuohang Wang, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
- Open doors to introducing event semantic structures into vision-language understanding
- Bridges the gap between two modalities during V+L pretraining by optimizing structural alignment

Manling Li*, Alireza Zareian*, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang
- Opens up a new research direction of event-centric multimedia information extraction
- Multimedia knowledge extraction is a new paradigm for information extraction, and has been well-noticed by the research community

Manling Li, Alireza Zareian*, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare R Voss, Dan Napierski, Marjorie Freedman
- The first open-source multimedia knowledge extraction system
- Used by various government agencies (e.g., ARL, DARPA, and IARPA)
- A top performer at the DARPA AIDA/NIST SM-KBP evaluation in each phase
- Received the ACL 2020 Best Demo Paper Award

Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, David Liem, Ahmed Elsayed, Martha Palmer, Jasmine Rah, Clare Voss, Cynthia Schneider, Boyan Onyshkevych
- A graph of genes, diseases, symptoms, chemicals, as well as their connections
- Awarded NAACL 2021 Best Demo Paper
- Generate a drug re-purposing report during collaborations with Prof David Liem from UCLA Data Science in Cardiovascular Medicine