Before revision:  Schema2QA uses  a  novel neural model that combines the BERT pretrained model with an LSTM;
After revision:  Schema2QA uses A skill from a database schema, requiring just a few manual annotations on each field. The key concept is to cover the space of possible compound queries on the database with millions of domain-specific questions synthesized with the help of a corpus of generic query templates. The synthesized data and a novel neural model that combines the BERT pretrained model with an LSTM;