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Semantic Parsing on WikiSQL (dev)

84AccuracyShi et al.
59.87266.13672.478.664Sep 9, 2019

Evaluation results

MethodLinks
Shi et al.Supervision Type=Programs2019.0984——
Structured-Attention ParserSupervision Type=Denotations, Attention Type=structured attention, Configuration=Abstract Programs2019.0979.4——
Dong and LapataSupervision Type=Programs2019.0979——
Abstract ProgramsSupervision Type=Denotations, Attention Type=standard attention2019.0975.2——
Sun et al.Supervision Type=Programs2019.0975.1——
Agarwal et al.Supervision Type=Denotations2019.0974.9——
Yu et al.Supervision Type=Programs2019.0974.5——
Typed Seq2SeqSupervision Type=Denotations2019.0974.5——
Liang et al.Supervision Type=Denotations2019.0972.2——
Xu et al.Supervision Type=Programs2019.0969.8——
Huang et al.Supervision Type=Programs2019.0968.3——
Wang et al.Supervision Type=Programs2019.0967.1——
Zhong et al.Supervision Type=Programs2019.0960.8——
Augmented Pointer Network2017.08—44.153.8
Baseline2017.08—23.337
Max lossYear=2017, Meta-learning=false2018.03—61.366.9
Meta + Max lossLearner=Max loss, Meta-learning=true2018.03—62.167.3
Meta + Pointer lossLearner=Pointer loss, Meta-learning=true2018.03—5257.7
Meta + Sum lossLearner=Sum loss, Meta-learning=true2018.03—63.168.3
Pointer lossYear=2017, Meta-learning=false2018.03—46.852.1
PointerNetYear=20172018.03—44.153.8
Seq2SQLreinforcement learning=false2017.08—48.258.1
Seq2SQLreinforcement learning=true2017.08—49.560.8
Seq2SQLYear=20172018.03—49.560.8
Sum lossYear=2017, Meta-learning=false2018.03—6267.1