Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering.
Yangyang ZhouXin KangFuji RenPublished in: CLEF (Working Notes) (2018)
Keyphrases
- question answering
- medical domain
- information extraction
- domain specific
- text mining
- natural language processing
- passage retrieval
- information retrieval
- question classification
- syntactic information
- question answering systems
- qa clef
- natural language
- visual features
- clinical practice
- cross language
- natural language questions
- clinical trials
- visual information
- medical records
- answer validation
- artificial intelligence
- data sets
- semantic roles
- expert systems
- answering questions
- answer extraction
- speech transcripts
- candidate answers
- visual data
- computer vision
- databases