230 citations · 564 across the 27 of their papers we have counts for
5 papers · 1 filter
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task
Tao Yu, Michihiro Yasunaga, Kai Yang +4
Most existing studies in text-to-SQL tasks do not require generating complex SQL queries with multiple clauses or sub-queries, and generalizing to new, unseen databases. In this pa…
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang +9
We present Spider, a large-scale, complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 college students. It consists of 10,181 questions and 5,693 uniq…
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang +4
To be informative, an evaluation must measure how well systems generalize to realistic unseen data. We identify limitations of and propose improvements to current evaluations of te…
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
Rui Zhang, Cicero Nogueira dos Santos, Michihiro Yasunaga +2
Coreference resolution aims to identify in a text all mentions that refer to the same real-world entity. The state-of-the-art end-to-end neural coreference model considers all text…
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
Tao Yu, Zifan Li, Zilin Zhang +2
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…