Most graph-to-text works are built on the encoder-decoder framework with...
Text-to-SQL parsing is an essential and challenging task. The goal of
te...
The task of converting a natural language question into an executable SQ...
Recently pre-training models have significantly improved the performance...
Text-to-SQL aims to map natural language questions to SQL queries. The
s...
Semantic parsing has long been a fundamental problem in natural language...
This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...
Implicit discourse relation classification is of great importance for
di...
Text classification tends to struggle when data is deficient or when it ...