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[ACL2022] Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation

The repo is the source code for Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation

Chengwei Qin, Shafiq Joty

Accepted at 60th Annual Meeting of the Association for Computational Linguistics (ACL'22).

Setup

1. Download the code

git clone git@github.com:qcwthu/Continual_Fewshot_Relation_Learning.git
cd Continual_Fewshot_Relation_Learning

2. Install modified transformers

cd transformers; pip install .; cd ..

3. Download pre-trained files

3.1. Pre-trained similarity model

simmodelckpt

Please name it as 'simmodelckpt' and put it under the root folder of this project.

3.2. Embeddings of all unlabeled data

allunlabeldata.npy

Please name it as 'allunlabeldata.npy' and put it under the root folder of this project.

3.3. Glove embeddings

glove

Please put 'glove' folder under the root folder of this project.

3.4 distant.json

distant.json

4. Run script

bash runall.sh

Citation

If you find our paper or this project helps your research, please kindly consider citing our paper in your publication.

@article{qin2022continual,
  title={Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation},
  author={Qin, Chengwei and Joty, Shafiq},
  journal={arXiv preprint arXiv:2203.02135},
  year={2022}
}