A machine learning-enabled open biodata resource inventory from the scientific literature

Computer Science

• Machine Learning 100%
• Scientific Literature 100%
• Natural Language Processing 50%
• Processing Approach 50%
• Human Intervention 50%
• Named Entity Recognition 50%
• Open Data 50%
• Distributed Infrastructure 50%
• Bidirectional Encoder Representations From Transformers 50%
• Research Funders 50%

Keyphrases

• Machine Learning 100%
• Biodata 100%
• Resource Inventory 100%
• Curation 16%
• Life Sciences 8%
• Biological Research 8%
• Human Intervention 8%
• Sustainable Finance 8%
• Automated pipeline 8%
• Value Analysis 8%
• Resource Base 8%
• Global Inventory 8%
• Natural Language Processing 8%
• Named Entity Recognition 8%
• Individual Resources 8%
• Confidence Prediction 8%
• Distributed Infrastructure 8%
• Scientific Publishing 8%
• Open Data 8%
• Geolocation Information 8%
• Research Funders 8%
• Value Aggregation 8%
• Transformer Model 8%
• Europe PMC 8%
• Global Infrastructure 8%
• Bidirectional Encoder Representations from Transformers 8%
• Funding Strategy 8%
• Self-registration 8%

Psychology

• Biodata 100%