LLMs Accelerate Annotation for Medical Information Extraction.
Akshay GoelAlmog GuetaOmry GilonChang LiuSofia ErellLan Huong NguyenXiaohong HaoBolous JaberShashir ReddyRupesh KarthaJean SteinerItay LaishAmir FederPublished in: ML4H@NeurIPS (2023)
Keyphrases
- information extraction
- medical image annotation
- natural language processing
- free text
- metadata
- medical domain
- precision and recall
- information retrieval
- medical diagnosis
- machine learning
- medical records
- question answering
- open domain
- semi structured
- named entities
- web mining
- semantic annotation
- structured data
- medical information
- manual annotation
- conditional random fields
- active learning
- medical imaging
- text documents
- patient records
- web documents
- textual data
- text mining
- text summarization
- relation extraction
- text processing
- natural language text
- fully automatic
- automatic annotation
- medical knowledge
- ontology based information extraction
- extracting meaningful
- named entity recognition
- image annotation
- medical center
- inductive logic programming
- machine translation
- medical experts
- probabilistic model