By applying policy-based reinforcement learning with a query

execution environment to WikiSQL, our model Seq2SQL outperforms attentional

sequence to sequence models, improving execution accuracy from 35.9% to 60.3%

and logical form accuracy from 23.4% to 49.2%.



http://m.zdnet.co.kr/news_view.asp?article_id=20170831082744#imadnews

https://www.salesforce.com/blog/2017/08/salesforce-research-ai-talk-to-data

https://github.com/salesforce/WikiSQL

https://einstein.ai/static/images/layouts/research/seq2sql/seq2sql.pdf




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