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How to Build FAIR Domain-Specific Datasets for fine tuning/training NLP models
How to Build FAIR Domain-Specific Datasets for fine tuning/training NLP models
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How to Build FAIR Domain-Specific Datasets for fine tuning/training NLP models
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EPISODES
Summary and Setup
1. Introduction to NLP tasks and Fine-Tuning
2. Identifying and Collecting Domain-Specific Data
3. Preprocessing Biomedical Text Data
4. Annotation Strategies for Domain-Specific NLP Tasks
5. Quality Assurance and Validation of Datasets
6. Challenges and possible solutions to create datasets
7. FAIRification of Domain-Specific Datasets
RESOURCES
Key Points
Glossary
Learner Profiles
Reference
See all in one page
Introduction to NLP tasks and Fine-Tuning
Identifying and Collecting Domain-Specific Data
Preprocessing Biomedical Text Data
Annotation Strategies for Domain-Specific NLP Tasks
Quality Assurance and Validation of Datasets
Challenges and possible solutions to create datasets
FAIRification of Domain-Specific Datasets
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