Using active learning and an agent-based system to perform interactive knowledge extraction based on the COVID-19 corpus.
Yao YaoJunying LiuConor RyanPublished in: Knowl. Eng. Rev. (2023)
Keyphrases
- knowledge extraction
- active learning
- systems engineering
- textual documents
- knowledge discovery
- computer graphics
- medical databases
- supervised machine learning
- user friendly
- user interaction
- virtual reality
- data mining
- experimental design
- supervised learning
- training set
- learning algorithm
- imbalanced data classification
- multiword
- pool based active learning
- database
- random sampling
- free text
- test set
- training examples
- genetic programming
- e learning
- feature selection
- databases