Spent this week reading the research paper (https://lnkd.in/gcrqPnR) from Salesforce Einstein team. I was impressed to know that Seq2sql model got 70% accuracy in generating SQL from Natural Language. The authors have exploited structure of the SQL and creatively combined LSTM'S and Reinforcement Learning approaches
It would be great to know Linkedin community's thoughts on how we can further increase the accuracy of SQL generation? What are the approaches to extend the problem to generate Join Operations and Multi Step SQL statements. How far do you think, we are from replacing Data Analyst's with smart enterprise Information Virtual Agents?
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