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Coarse-to-Fine Decoding for Neural Semantic Parsing.

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Coarse-to-Fine

Prerequisites

  • use separate conda env, then:
conda create -n coarse-to-fine python=3.5
source activate coarse-to-fine
pip install -r requirements.txt
  • download data-model, and copy it to the root directory, then:
unzip acl18coarse2fine_data_model.zip

Reference

Coarse-to-Fine Decoding for Neural Semantic Parsing

@article{dong2018coarse,
  title={Coarse-to-fine decoding for neural semantic parsing},
  author={Dong, Li and Lapata, Mirella},
  journal={arXiv preprint arXiv:1805.04793},
  year={2018}
}

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  • Python 98.7%
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