- Title
- Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs)
- Creators
- Yuan An - Drexel UniversityJane Greenberg - Drexel UniversityXiaohua Hu - Drexel UniversityAlex Kalinowski - Drexel UniversityXiao FangXintong Zhao - Drexel UniversityScott McCLellan - Drexel UniversityFernando J. Uribe-RomoKyle Langlois - University of Central FloridaJacob Furst - University of Central FloridaDiego A. Gomez-Gualdron - Colorado School of MinesFernando Fajardo-Rojas - Colorado School of MinesKatherine Ardila - Colorado School of MinesSemion K. Saikin - Kebotix (United States)Corey A. Harper - Reed ElsevierRon Daniel - Reed Elsevier
- Publication Details
- 2022 IEEE International Conference on Big Data (Big Data)
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85147906256
- Other Identifier
- 991021811619004721
Conference proceeding
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs)
2022 IEEE International Conference on Big Data (Big Data)
17 Dec 2022
Metrics
26 Record Views
5 citations in Scopus