TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation

Interacting with relational databases through natural language helps users of any background easily query and analyze a vast amount of data. This requires a system that understands users' questions and converts them to SQL queries automatically... (read more)

PDF Abstract NAACL 2018 PDF NAACL 2018 Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Code Generation WikiSQL TypeSQL+TC (Yu et al., 2018)+ Execution Accuracy 82.6 # 1
Code Generation WikiSQL TypeSQL (Yu et al., 2018) Execution Accuracy 73.5 # 5

Methods used in the Paper


METHOD TYPE
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