Literature

With synchronous grammars

Galley et al. 04: What’s in a translation rule?

Kate et al. 05: Learning to transform natural to formal languages

Wong & Mooney 07: Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus

With CCG

Zettlemoyer & Collins 05: Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

Zettlemoyer & Collins 07: Online Learning of Relaxed CCG Grammars for Parsing to Logical Form

Kwiatkowski et al. 10: Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification

Artzi et al. 15: Broad-coverage CCG Semantic Parsing with AMR

Transition-based

Flanigan et al. 14: A Discriminative Graph-Based Parser for the Abstract Meaning Representation

Wang et al. 15: Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers

Damonte et al. 17: An incremental parser for abstract meaning representation

Neural

Jia & Liang 16: Data recombination for neural semantic parsing

Ling et al. 16: Latent Predictor Networks for Code Generation

Peng et al. 17: Addressing the Data Sparsity Issue in Neural AMR Parsing

Various

Berant et al. 13: Semantic Parsing on Freebase from Question-Answer Pairs

Quirk et al. 15: Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes

Wang et al. 15: Building a Semantic Parser Overnight

Resources

Zelle & Mooney 96: Learning to Parse Database Queries Using Inductive Logic Programming (Geoquery)

Basile et al. 12: Developing a large semantically annotated corpus (Groningen Meaning Bank)

Banarescu et al. 13: Abstract Meaning Representation for Sembanking (AMRBank)

Oepen et al. 14: SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing (SemEval Task 8)

Pourdamghani et al. 14: Aligning English Strings with Abstract Meaning Representation Graphs