[ { "Accuracy (agg)": 97, "Accuracy (anywhere)": 92, "Accuracy (sel)": 97, "code_links": [ { "title": "guotong1988/NL2SQL-RULE", "url": "https://github.com/guotong1988/NL2SQL-RULE" }, { "title": "guotong1988/NL2SQL-BERT", "url": "https://github.com/guotong1988/NL2SQL-BERT" }, { "title": "realsonalkumar/Mish-Mash-Hackathon", "url": "https://github.com/realsonalkumar/Mish-Mash-Hackathon" } ], "date": "2019-10-16", "date2": 20191016, "model": "NL2SQL-BERT", "paper": { "title": "Content Enhanced BERT-based Text-to-SQL Generation", "url": "https://cknow.io/lib/8b395aaa74539be2" }, "paper_data_uoa": "8b395aaa74539be2" }, { "Accuracy (agg)": 90.3, "Accuracy (anywhere)": 71.9, "Accuracy (sel)": 90.9, "code_links": [ { "title": "salesforce/WikiSQL", "url": "https://github.com/salesforce/WikiSQL" }, { "title": "xiaojunxu/SQLNet", "url": "https://github.com/xiaojunxu/SQLNet" }, { "title": "llSourcell/SQL_Database_Optimization", "url": "https://github.com/llSourcell/SQL_Database_Optimization" }, { "title": "sunlab-osu/MISP", "url": "https://github.com/sunlab-osu/MISP" }, { "title": "racheljose21/chatbot", "url": "https://github.com/racheljose21/chatbot" }, { "title": "Baidi96/text2sql", "url": "https://github.com/Baidi96/text2sql" }, { "title": "BroCoLySTyLe/SQLovaReview", "url": "https://github.com/BroCoLySTyLe/SQLovaReview" }, { "title": "wronnyhuang/SQLNet_inference", "url": "https://github.com/wronnyhuang/SQLNet_inference" }, { "title": "PriyankaDatar/NLP_Project_Modfications", "url": "https://github.com/PriyankaDatar/NLP_Project_Modfications" }, { "title": "PriyankaDatar/NLP_project_BIDAF", "url": "https://github.com/PriyankaDatar/NLP_project_BIDAF" }, { "title": "PriyankaDatar/NLP_SQL_Bert", "url": "https://github.com/PriyankaDatar/NLP_SQL_Bert" } ], "date": "2017-11-13", "date2": 20171113, "model": "SQLNet (Seq2set+CA+WE)", "paper": { "title": "SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning", "url": "https://cknow.io/lib/f70456a8d0365cfe" }, "paper_data_uoa": "f70456a8d0365cfe" } ]