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}
}