TY - GEN
T1 - COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
AU - Wang, Qingyun
AU - Li, Manling
AU - Wang, Xuan
AU - Parulian, Nikolaus
AU - Han, Guangxing
AU - Ma, Jiawei
AU - Tu, Jingxuan
AU - Lin, Ying
AU - Zhang, Haoran
AU - Liu, Weili
AU - Chauhan, Aabhas
AU - Guan, Yingjun
AU - Li, Bangzheng
AU - Li, Ruisong
AU - Song, Xiangchen
AU - Fung, Yi R.
AU - Ji, Heng
AU - Han, Jiawei
AU - Chang, Shih Fu
AU - Pustejovsky, James
AU - Rah, Jasmine
AU - Liem, David
AU - Elsayed, Ahmed
AU - Palmer, Martha
AU - Voss, Clare
AU - Schneider, Cynthia
AU - Onyshkevych, Boyan
N1 - Publisher Copyright:
© 2021 Association for Computational Linguistics.
PY - 2021
Y1 - 2021
N2 - To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, relations and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence.
AB - To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, relations and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence.
UR - http://www.scopus.com/inward/record.url?scp=85122303251&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85122303251&partnerID=8YFLogxK
U2 - 10.18653/v1/2021.naacl-demos.8
DO - 10.18653/v1/2021.naacl-demos.8
M3 - Conference contribution
AN - SCOPUS:85122303251
T3 - NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Demonstrations
SP - 66
EP - 77
BT - NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics
PB - Association for Computational Linguistics (ACL)
T2 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021
Y2 - 6 June 2021 through 11 June 2021
ER -