CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering.
Feifei PanMustafa CanimMichael R. GlassAlfio GliozzoPeter FoxPublished in: ACL (demo) (2021)
Keyphrases
- end to end
- question answering
- passage retrieval
- information retrieval
- sentence retrieval
- question classification
- document retrieval
- information extraction
- natural language processing
- cross language
- open domain question answering
- answer extraction
- natural language
- named entities
- syntactic information
- question answering systems
- congestion control
- candidate answers
- retrieval systems
- query expansion
- semantic roles
- relevance feedback
- machine learning
- answering questions
- real world