TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering.
Yong LiZhenguo YangTianyong HaoPublished in: CLEF (Working Notes) (2021)
Keyphrases
- question answering
- hybrid model
- feature extraction
- support vector machine svm
- artificial neural networks
- information retrieval
- support vector regression
- hybrid models
- qa clef
- information extraction
- visual features
- natural language processing
- natural language questions
- visual information
- candidate answers
- question classification
- neural network
- answer validation
- pattern recognition
- natural language
- passage retrieval
- question answering systems
- support vector machine
- face recognition
- qa systems
- syntactic information
- cross language
- feature space
- feature vectors
- image classification
- semantic roles
- answer extraction
- decision trees
- feature selection
- artificial intelligence
- machine learning