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Found 4 papers, 3 papers with code
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
Training datasets for semantic parsing are typically small due to the higher expertise required for annotation than most other NLP tasks.
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
A natural language database interface (NLDB) can democratize data-driven insights for non-technical users.
Code Generation from Natural Language with Less Prior and More Monolingual Data
Training datasets for semantic parsing are typically small due to the higher expertise required for annotation than most other NLP tasks.
Ranked #2 on
Code Generation
on Django
Optimizing Deeper Transformers on Small Datasets
This work shows that this does not always need to be the case: with proper initialization and optimization, the benefits of very deep transformers can carry over to challenging tasks with small datasets, including Text-to-SQL semantic parsing and logical reading comprehension.
