JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation.
Fei ChengShuntaro YadaRibeka TanakaEiji AramakiSadao KurohashiPublished in: LREC (2022)
Keyphrases
- information extraction
- machine learning
- free text
- medical domain
- question answering
- text mining
- medical image annotation
- metadata
- named entity recognition
- natural language processing
- semi structured
- named entities
- semantic annotation
- medical records
- medical data
- precision and recall
- web documents
- active learning
- web mining
- pipeline architecture
- image annotation
- information retrieval
- automatic image annotation
- relation extraction
- neural network
- open domain
- automatic annotation
- expert systems
- textual data
- image retrieval
- medical diagnosis
- medical imaging
- conditional random fields
- rough sets
- manual annotation
- medical images
- medical treatment
- japanese language
- databases
- ontology based information extraction