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Inferring Logical Forms From Denotations
A core problem in learning semantic parsers from denotations is picking out consistent logical forms—those that yield the correct denotation—from a combina- torially large space. To control the search space, …...
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
AbstractWe present a new semantic parsing model for answering compositional questions on semi-structured Wikipedia tables. Our parser is an encoder-decoder neural network with two key technical innovations: (1) a grammar …...
Iterative Search for Weakly Supervised Semantic Parsing
AbstractTraining semantic parsers from question-answer pairs typically involves searching over an exponentially large space of logical forms, and an unguided search can easily be misled by spurious logical forms that …...
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
AbstractSemantic parsing aims to map natural language utterances onto machine interpretable meaning representations, aka programs whose execution against a real-world environment produces a denotation. Weakly-supervised semantic parsers are trained on …...