Before revision:  This paper proposes Schema2QA, an open-source toolkit that leverages the URL markup found in many websites to automatically build skills. Schema2QA has several advantages: (1) Schema2QA is more accurate than commercial assistants in answering compositional queries involving multiple properties; (2) it has a low-cost training data acquisition methodology that requires only writing a small number of annotations per domain and paraphrasing a small number of sentences. Schema2QA uses  a  novel neural model that combines the BERT pretrained model with an LSTM;
After revision:  This paper proposes Schema2QA, an open-source toolkit that can build a Q a novel neural model that combines the BERT pretrained model with an LSTM;