Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
Data
We ran experiments on a total of 4 datasets. You may unzip our processed data file data.zip and put the data files under data/ folder.
| Dataset | Notes |
|---|---|
| 20 Newsgroups (link) | Processed data available. We used the 20news-18828 version, available at the link provided. |
| Reuters-21578 (link) | Processed data available. |
| Amazon reviews (link) | We used a subset of the product review data. Processed data available. |
| HuffPost headlines (link) | Processed data available. |
Please download pretrain word vector file wiki.en.vec from here and put it under pretrain_wordvec/ folder.
Quickstart
After you have finished configuring the data/ folder and the pretrain_wordvec/ folder, you can run our model with the following commands.
cd bin
sh mlada.sh
You can also adjust the model by modifying the parameters in the malada.sh file.
Dependencies
- Python 3.7
- PyTorch 1.6.0
- numpy 1.18.5
- torchtext 0.7.0
- termcolor 1.1.0
- tqdm 4.46.0
- CUDA 10.2