Pre-trained models (PTMs) have become a fundamental backbone for downstr...
The constrained outbreak of COVID-19 in Mainland China has recently been...
Providing timely accessibility reminders of a point-of-interest (POI) pl...
In this paper, we focus on a new practical task, document-scale text con...
Keyphrases are capable of providing semantic metadata characterizing
doc...
Neural semantic parsing has achieved impressive results in recent years,...
Conversational semantic parsing over tables requires knowledge acquiring...
Machine reading comprehension (MRC) requires reasoning about both the
kn...
We study how to learn a semantic parser of state-of-the-art accuracy wit...
We present a generative model to map natural language questions into SQL...