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@KieranLitschel KieranLitschel released this 24 Jan 20:28
· 13 commits to main since this release
v0.1.1
20c4b62
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Learn about vigilant mode.

New features:

  • Implemented basic SWEM-max model (#1)
  • Made it so dropout is applied to the embeddings rather than the output of the max-pooling layer (#6)
  • Added option to initialize the model with pre-trained GloVe embeddings and adapt them (#7)
  • Added option to freeze the embedding layer (#15)
  • Implemented global explainability for word embedding components, as proposed in section 4.1.1 of the original paper (#2)
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