End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
Siamak ShakeriCícero Nogueira dos SantosHenry ZhuPatrick NgFeng NanZhiguo WangRamesh NallapatiBing XiangPublished in: CoRR (2020)
Keyphrases
- end to end
- domain adaptation
- data generation
- question answering systems
- co training
- question answering
- labeled data
- active learning
- semi supervised learning
- cross domain
- natural language
- semi supervised
- multiple sources
- data streams
- document retrieval
- sentiment classification
- information retrieval systems
- streaming data
- unlabeled data
- transfer learning
- text classification
- training data
- search engine
- test collection
- named entities
- databases
- supervised learning
- high dimensional data
- single view
- relevance feedback
- information extraction
- high resolution
- multimedia