One of the recent best attempts at Text-to-SQL is the pre-trained language model. Due to the
structural property of the SQL queries, the seq2seq model takes the responsibility of parsing …

As a main field of artificial intelligence, natural language processing (NLP) has achieved
remarkable success via deep neural networks. Plenty of NLP tasks have been addressed in …

The task of text-to-SQL parsing, which aims at converting natural language questions into
executable SQL queries, has garnered increasing attention in recent years. One of the major …

In this paper, we propose a novel SQL guided pre-training framework STAR for context-
dependent text-to-SQL parsing, which leverages contextual information to enrich natural …

Out-of-Domain (OOD) intent detection is important for practical dialog systems. To alleviate
the issue of lacking OOD training samples, some works propose synthesizing pseudo OOD …

Text-to-SQL parsing tackles the problem of mapping natural language questions to
executable SQL queries. In practice, text-to-SQL parsers often encounter various …

Click-through Rate (CTR) module is the foundation block of recommendation system and
used for search, content selection, advertising, video streaming etc. CTR is modelled as a …