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Home Page: https://arxiv.org/abs/1802.05694
License: MIT License
Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
Home Page: https://arxiv.org/abs/1802.05694
License: MIT License
Hi,
environment.yml says torch==0.3.1.post2
, but I think it should be torch==0.4.0
.
Thanks for a great library!
Experiment 3 uses pre trained word vectors of 100 dimension. It has not been mentioned in the paper or the repository the source of the embeddings. Can you please briefly explain the method used for training the embeddings?
Moreover does the choice of embeddings affect the results?
The paper mentions selecting 5000 most common features for the processed amazon mtl dataset. However, the code selects the first 5000 features from the pickle files. Are the columns of the feature matrix sorted?
Can you provide a description of the data present in the Pickle files for Multi Domain Amazon Dataset?
Or code for generating these pickle files
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