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Aspect-augmented Adversarial Networks for Domain Adaptation

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Aspect-augmented Adversarial Networks for Domain Adaptation

About this repo

This repo contains the code and resources of the following paper:

This paper introduces an adversarial network method for transfer learning between two (source and target) classification tasks or aspects over the same domain.

Experiments

  • The directory synthetic contains the implementation of training model on synthetic datasets. The synthectic data generator is also included.
  • The medical data is not available due to the privacy issue. The synthectic dataset somehow represents the challenge in the medical data.

Structures

  • /nn: source code of NN library based on this repo
  • /word2vec: word2vec (from here) for training word embeddings
  • /synthetic: source code for generating and training models on synthetic data

Dependencies

Theano >= 0.8, Python >= 2.7, Numpy

To-do

  • source code for the review dataset

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