SParC: Cross-Domain Semantic Parsing in Context

ACL 2019 Tao YuRui ZhangMichihiro YasunagaYi Chern TanXi Victoria LinSuyi LiHeyang ErIrene LiBo PangTao ChenEmily JiShreya DixitDavid ProctorSungrok ShimJonathan KraftVincent ZhangCaiming XiongRichard SocherDragomir Radev

We present SParC, a dataset for cross-domainSemanticParsing inContext that consists of 4,298 coherent question sequences (12k+ individual questions annotated with SQL queries). It is obtained from controlled user interactions with 200 complex databases over 138 domains... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.