Scholak et al., 2020 - Google Patents
DuoRAT: towards simpler text-to-SQL modelsScholak et al., 2020
View PDF- Document ID
- 13381797499938481021
- Author
- Scholak T
- Li R
- Bahdanau D
- de Vries H
- Pal C
- Publication year
- Publication venue
- arXiv preprint arXiv:2010.11119
External Links
Snippet
Recent neural text-to-SQL models can effectively translate natural language questions to corresponding SQL queries on unseen databases. Working mostly on the Spider dataset, researchers have proposed increasingly sophisticated solutions to the problem. Contrary to …
- 241000239290 Araneae 0 abstract description 16
Classifications
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- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- G06F17/2765—Recognition
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