Natural Language Interface for Databases Using a Dual-Encoder Model

COLING 2018 Ionel Alex HosuruRadu Cristian Alex IacobruFlorin BradStefan RusetiTraian Rebedea

We propose a sketch-based two-step neural model for generating structured queries (SQL) based on a user{'}s request in natural language. The sketch is obtained by using placeholders for specific entities in the SQL query, such as column names, table names, aliases and variables, in a process similar to semantic parsing... (read more)

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