Numerical reasoning is vital for natural language processing models to
u...
The limited scale of annotated data constraints existing context-depende...
Prompt-based learning reformulates downstream tasks as cloze problems by...
In this paper, we study the problem of knowledge-intensive text-to-SQL, ...
Text-to-SQL semantic parsing is an important NLP task, which greatly
fac...
Table-and-text hybrid question answering (HybridQA) is a widely used and...
Existing text-to-SQL semantic parsers are typically designed for particu...