Neural Semantic Parsing with Type Constraints for Semi-Structured Tables

@inproceedings{Krishnamurthy2017NeuralSP,
  title={Neural Semantic Parsing with Type Constraints for Semi-Structured Tables},
  author={Jayant 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. Our parser is an encoder-decoder neural network with two key technical innovations: (1) a grammar for the decoder that only generates well-typed logical forms; and (2) an entity embedding and linking module that identifies entity mentions while generalizing across tables. We also introduce a novel method for training our neural model with question-answer supervision. On the… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 38 CITATIONS, ESTIMATED 59% COVERAGE

64 Citations

020406020182019
Citations per Year
Semantic Scholar estimates that this publication has 64 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…