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deep-bayes-semisup-active-seq-labelling's Introduction

Deep Bayesian Semi-Supervised Active Learning for Sequence Labelling

This repository contains experiments for article: Deep Bayesian Semi-Supervised Active Learning for Sequence Labelling.

Getting started

  1. Install environment and activate it

    conda env update & source activate deep-bayes-active-semisup

  2. Download Glove embeddings and store it in:

    datasets/glove/glove.840B.300d.txt

  3. Run experiment

  • BI-LSTM-FCN - experiment with unlimited number of tokens
    python -u experiments/bilstm_fcn_unlimited  NER    
    python -u experiments/bilstm_fcn_unlimited  POS
    python -u experiments/bilstm_fcn_unlimited  CHUNK
  • BI-LSTM-FCN - experiment with limited number of tokens
    python -u experiments/bilstm_fcn_limited  NER    
    python -u experiments/bilstm_fcn_limited  POS
    python -u experiments/bilstm_fcn_limited  CHUNK
  • BI-LSTM-CRF - experiment with unlimited number of tokens
    python -u experiments/bilstm_crf_unlimited  NER    
    python -u experiments/bilstm_crf_unlimited  POS
    python -u experiments/bilstm_crf_unlimited  CHUNK
  • BI-LSTM-CRF - experiment with limited number of tokens
    python -u experiments/bilstm_crf_limited  NER    
    python -u experiments/bilstm_crf_limited  POS
    python -u experiments/bilstm_crf_limited  CHUNK

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