Набор данных Spider
Related Papers
Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation
AbstractMost deep learning approaches for text-to-SQL generation are limited to the WikiSQL dataset, which only supports very simple queries over a single table. We focus on the Spider dataset, a …...
Global Reasoning over Database Structures for Text-to-SQL Parsing
AbstractState-of-the-art semantic parsers rely on auto-regressive decoding, emitting one symbol at a time. When tested against complex databases that are unobserved at training time (zero-shot), the parser often struggles to …...
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL
AbstractOne key component in text-to-SQL is to predict the comparison relations between columns and their values. To the best of our knowledge, no existing models explicitly introduce external common knowledge …...
“What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
AbstractIn Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions. Though significant progress in this area has been made recently, …...
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
AbstractIn Text-to-SQL semantic parsing, selecting the correct entities (tables and columns) for the generated SQL query is both crucial and challenging; the parser is required to connect the natural language …...
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
AbstractWhen translating natural language questions into SQL queries to answer questions from a database, contemporary semantic parsing models struggle to generalize to unseen database schemas. The generalization challenge lies in …...
DuoRAT: Towards Simpler Text-to-SQL Models
AbstractRecent neural text-to-SQL models can effectively translate natural language questions to corresponding SQL queries on unseen databases. Working mostly on the Spider dataset, researchers have proposed increasingly sophisticated solutions to …...
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
AbstractThe goal of database question answering is to enable natural language querying of real-life relational databases in diverse application domains. Recently, large-scale datasets such as Spider and WikiSQL facilitated novel …...
SPARQLing Database Queries from Intermediate Question Decompositions
AbstractTo translate natural language questions into executable database queries, most approaches rely on a fully annotated training set. Annotating a large dataset with queries is difficult as it requires query-language …...