X2Static vectors

This folder contains the code for training X2Static models.

Code

The folder src contains the code and instructions to train and reproduce the models trained for our experiments.

Evaluation

Our models are evaluated using the standard evaluation tool in the MUSE repository by Facebook AI Research.

Pretrained vectors

Pretrained vectors in .bin format can be download from here. They can be converted to standard word2vec format using the script provided in the src folder. For example, to convert "X2Static_best.bin" to "X2Static_best.vec", use

python convert_bin_to_w2v.py X2Static_best.bin X2Static_best.vec

Dataset

Dataset in the required format for the code can be download from here.

References

When using this code or some of our pretrained vectors for your application, please cite the following paper:

Prakhar Gupta, Martin Jaggi, Obtaining Better Static Word Embeddings Using Contextual Embedding Models ACL 2021

@inproceedings{Gupta2021ObtainingPC,
  title={Obtaining Better Static Word Embeddings Using Contextual Embedding Models},
  author={Prakhar Gupta and Martin Jaggi},
  booktitle={ACL},
  year={2021}
}