This paper proposes a computational framework for the design optimizatio...
In industry deep learning application, our manually labeled data has a
c...
The performance gap between predicted and actual energy consumption in t...
Recently, the development of pre-trained language models has brought nat...
In industry NLP application, our manually labeled data has a certain num...
Language model pre-training has proven to be useful in many language
und...
We present a simple methods to leverage the table content for the BERT-b...
In this paper, we study the problem of short sentence ranking for questi...
We present a simple and novel way to do the task of text-to-SQL problem ...
Semantic parsing is the task of mapping natural language to logic form. ...
In recent years, bike-sharing systems have been deployed in many cities,...
Generating structural query language (SQL) queries from natural language...