Neural Semantic Parsing with Type Constraints for Semi-Structured Tables

@inproceedings{Krishnamurthy2017NeuralSP,
  title={Neural Semantic Parsing with Type Constraints for Semi-Structured Tables},
  author={J. Krishnamurthy and Pradeep Dasigi and Matt Gardner},
  booktitle={EMNLP},
  year={2017}
}
We present a new semantic parsing model for answering compositional questions on semi-structured Wikipedia tables. [...] Key Method We also introduce a novel method for training our neural model with question-answer supervision. On the WIKITABLEQUESTIONS data set, our parser achieves a state-of-theart accuracy of 43.3% for a single model and 45.9% for a 5-model ensemble, improving on the best prior score of 38.7% set by a 15-model ensemble. These results suggest that type constraints and entity linking are…Expand
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