FVQA: Fact-Based Visual Question Answering.
Peng WangQi WuChunhua ShenAnthony R. DickAnton van den HengelPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2018)
Keyphrases
- question answering
- natural language
- information extraction
- information retrieval
- question classification
- visual information
- passage retrieval
- natural language processing
- cross language
- question answering systems
- syntactic information
- natural language questions
- low level
- named entities
- answering questions
- sentence retrieval
- qa clef
- open domain question answering
- qa systems
- relation extraction
- visual features
- visual data
- text retrieval
- answer validation