VTQAGen: BART-based Generative Model For Visual Text Question Answering.
Haoru ChenTianjiao WanZhimin LinKele XuJin WangHuaimin WangPublished in: ACM Multimedia (2023)
Keyphrases
- question answering
- generative model
- information retrieval
- syntactic information
- probabilistic model
- textual entailment recognition
- natural language processing
- named entities
- information extraction
- em algorithm
- natural language
- question answering systems
- text mining
- relation extraction
- question answer pairs
- semi supervised
- passage retrieval
- cross language
- visual information
- latent dirichlet allocation
- qa clef
- video search
- prior knowledge
- topic models
- text retrieval
- text documents
- machine learning
- visual features
- artificial intelligence
- information retrieval systems
- answer extraction
- low level
- natural language questions
- keywords
- feature selection
- high level