Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering.
Ramakrishna VedantamKaran DesaiStefan LeeMarcus RohrbachDhruv BatraDevi ParikhPublished in: ICML (2019)
Keyphrases
- question answering
- probabilistic model
- information retrieval
- natural language
- natural language processing
- information extraction
- high level
- question answering systems
- question classification
- passage retrieval
- natural language questions
- named entities
- cross language
- relation extraction
- answer validation
- visual information
- qa clef
- semantic roles
- information access
- data mining
- visual features
- knowledge representation
- low level
- open domain question answering