VSL

A PyTorch implementation of "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)

Prerequisites

• Python 3.5
• PyTorch 0.3.0
• Scikit-Learn
• NumPy

Data and Pretrained Embeddings

Download: Twitter, Universal Dependencies, Embeddings (for Twitter and UD)

Run process_{ner,twitter,ud}_data.py first to generate *.pkl files and then use it as input for vsl_{g,gg}.py.

Citation

@inproceedings{mchen-variational-18,
  author    = {Mingda Chen and Qingming Tang and Karen Livescu and Kevin Gimpel},
  title     = {Variational Sequential Labelers for Semi-Supervised Learning},
  booktitle = {Proc. of {EMNLP}},
  year      = {2018}
}