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Code for EMNLP 2018 paper https://arxiv.org/pdf/1808.09075.pdf
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dataset
evaluation
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README.md
config.py
loader.py
main.py
model.py
utils.py

README.md

Neural-CRF-AE

Requirments

  • PyTorch 0.3.0
  • spaCy 2.0.0
  • Python 3.6

External Resources

Features are available at Google Drive

Gazetteers are available at Google Drive

Instructions

  1. Clone this repo.
  2. Create three new folders models, features and checkpoints.
  3. Download pre-trained word embeddings to models and feature files to features.
  4. Run python main.py and the model will be save at checkpoints

Acknowledgement

Some programs are adapted from:

Thank you for your contributions.

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