semantic-parsing topic
MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
ContextualSP
Multiple paper open-source codes of the Microsoft Research Asia DKI group
ccg2lambda
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
NL2LF
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
TabularSemanticParsing
Translating natural language questions to a structured query language
stog
AMR Parsing as Sequence-to-Graph Transduction
transition-amr-parser
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
Table-Pretraining
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
spring
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).