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Unsupervised Label Refinement Improves Dataless Text Classification

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Unsupervised Label Refinement Improves Dataless Text Classification

This repository contains the code and data for the paper Unsupervised Label Refinement Improves Dataless Text Classification

repo structure

  • dual-encoder: with cosine and L2 distances
  • single-encoder
  • data: comes with three training data files with 30k instances. The paper uses 300k instances, so this repo is just for demo purposes.

dependencies

  • PyTorch 1.4.0
  • transformers 2.6.0
  • scipy 1.4.1
  • numpy 1.19.1
  • sklearn

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Unsupervised Label Refinement Improves Dataless Text Classification

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