Wyoc / DNEmbedding

Linked Document Embedding using pretrained word vectors

What

This repository contains code and dataset for the two following papers:

-Gourru, A., Velcin, J., & Jacques, J. (2020). Gaussian Embedding of Linked Documents from a Pretrained Semantic Space. To appear in Proceedings of the 29th International Joint Conference on Artificial Intelligence, 2020

-Gourru, A., Guille, A., Velcin, J., & Jacques, J. (2020, April). Document Network Projection in Pretrained Word Embedding Space. In European Conference on Information Retrieval (pp. 150-157). Springer, Cham.

Who

The code was written in close collaboration with Adrien Guille.

How

The script classif.py allows to reproduce the result of our papers. Simply run:

python classif.py

Citations

You can cite our work using :

GELD

@inproceedings{gourru2020gaussian,
  title={Gaussian Embedding of Linked Documents from a Pretrained Semantic Space},
  author={Gourru, Antoine and Velcin, Julien and Jacques, Julien},
  booktitle={Proceedings of the 29th International Joint Conference on Artificial Intelligence},
  year={2020}
}

RLE

@inproceedings{gourru2020document,
  title={Document Network Projection in Pretrained Word Embedding Space},
  author={Gourru, Antoine and Guille, Adrien and Velcin, Julien and Jacques, Julien},
  booktitle={European Conference on Information Retrieval},
  pages={150--157},
  year={2020},
  organization={Springer}
}