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Neural Semantic Parsing with Type Constraints for Semi-Structured Tables

This page contains supplementary material for the paper: Neural Semantic Parsing with Type Constraints for Semi-Structured Tables (EMNLP 2017).

Code

The semantic parser was originally written using PNP, a probabilistic neural programming language that uses scala bindings for DyNet. This implementation is available in the

wikitables2
branch of the PNP repository. We are currently re-implementing the parser using AllenNLP, but that code is not ready yet. You can track progress in the wikitables branch of that repository.