Broad-coverage biomedical relation extraction with SemRep

Keyphrases

• SemRep 100%
• Biomedical Relation Extraction 100%
• F1 Score 40%
• Semantic Relations 30%
• Error Analysis 20%
• SemMedDB 20%
• Error Sources 10%
• Clinical Application 10%
• Scientific Community 10%
• Medical Diagnosis 10%
• Modularity 10%
• Biomedical Data 10%
• Information Management 10%
• Benchmark Corpora 10%
• Ongoing Development 10%
• Graph-based 10%
• Detection Error 10%
• Disease Relationships 10%
• Sentence-level 10%
• Natural Language Processing Techniques 10%
• Clinical Decision-making 10%
• Named Entity Recognition 10%
• Information Discovery 10%
• Performance Yield 10%
• Information Overload 10%
• Hypothesis Generation 10%
• Fair Ranking 10%
• Improving Health Outcomes 10%
• Linguistic Principles 10%
• Biomedical Text 10%
• Literature-based Discovery 10%
• Translational Application 10%
• Argument Identification 10%
• Knowledge Graph 10%
• Natural Language Processing Systems 10%
• Drug Repurposing 10%
• PubMed Abstracts 10%
• Trigger Detection 10%
• Comprehensive Error Analysis 10%
• Manually Annotated Dataset 10%

Computer Science

• Semantic Relation 100%
• Decision-Making 33%
• Natural Language Processing 33%
• Domain Knowledge 33%
• Error Detection 33%
• Information Management 33%
• Named Entity Recognition 33%
• Ongoing Development 33%
• Medical Diagnosis 33%
• Natural Language Processing Systems 33%
• Identified Weakness 33%
• Information Retrieval 33%
• Information Systems 33%
• Knowledge Graph 33%