Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.
Emily GrovesMinhong WangYusuf AbdulleHolger KunzJason Hoelscher-ObermaierRonin WuHonghan WuPublished in: CoRR (2023)
Keyphrases
- supervised learning
- fine tuning
- learning systems
- prior knowledge
- subject matter
- learning algorithm
- knowledge acquisition
- learning problems
- learning tasks
- learning process
- high school students
- statistical learning
- learned knowledge
- conceptual understanding
- deeper understanding
- knowledge transfer
- concept maps
- contextual information
- unsupervised learning
- empirical studies
- reinforcement learning
- context aware
- knowledge base
- knowledge construction
- expert systems
- active learning
- domain knowledge
- knowledge representation
- knowledge discovery
- semi supervised
- online learning
- background knowledge
- data sets
- collaborative learning
- gene expression
- mobile learning
- decision trees
- learning achievement
- active participation
- facilitate learning
- biological entities