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Semantic Parsing
Semantic parsing is a task in natural language processing that aims to convert natural language expressions into formal meaning representations. These meaning representations can be based on various formal methods, including lambda calculus or Abstract Meaning Representation (AMR) intended to capture the meaning of sentences, as well as task-oriented executable programs such as SQL queries, robot commands, smartphone operations, and general programming language code. The application value of this task lies in achieving efficient interaction between natural language and computer systems.
WikiTableQuestions
Dater
spider
T5-3B + PICARD
CFQ
WikiSQL
NL2SQL-BERT
WebQuestionsSP
ReaRev
ATIS
PhraseTransformer
PTG (czech, MRP 2020)
PERIN + RobeCzech
Geo
coarse2fine
EDS (english, MRP 2020)
UCCA (english, MRP 2020)
DRG (german, MRP 2020)
SQA
TAPAS-Large
PTG (english, MRP 2020)
UCCA (german, MRP 2020)
AMR (chinese, MRP 2020)
DRG (english, MRP 2020)
PERIN
AMR (english, MRP 2020)
PERIN
SParC
MeMCE
GraphQuestions
ReasonBERTR
complexWebQuestions-V1.0
HSP