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paper.bib
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@inproceedings{prouteau2021sinr,
title={SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!},
author={Prouteau, Thibault and Connes, Victor and Dugu{\'e}, Nicolas and Perez, Anthony and Lamirel, Jean-Charles and Camelin, Nathalie and Meignier, Sylvain},
booktitle={IDA},
pages={325--337},
year={2021},
doi={10.1007/978-3-030-74251-5_26}
}
@inproceedings{prouteau2022embedding,
title={Are Embedding Spaces Interpretable? Results of an Intrusion Detection Evaluation on a Large French Corpus},
author={Prouteau, Thibault and Dugu{\'e}, Nicolas and Camelin, Nathalie and Meignier, Sylvain},
booktitle={LREC},
year={2022}
}
@article{mikolov2013efficient,
title={Efficient estimation of word representations in vector space},
author={Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
journal={arXiv preprint arXiv:1301.3781},
year={2013},
doi={10.48550/arXiv.1301.3781}
}
@inproceedings{pennington2014glove,
title={Glove: Global vectors for word representation},
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booktitle={EMNLP},
pages={1532--1543},
year={2014},
doi={10.3115/v1/D14-1162}
}
@article{le2019flaubert,
title={Flaubert: Unsupervised language model pre-training for french},
author={Le, Hang and Vial, Lo{\"\i}c and Frej, Jibril and Segonne, Vincent and Coavoux, Maximin and Lecouteux, Benjamin and Allauzen, Alexandre and Crabb{\'e}, Benoit and Besacier, Laurent and Schwab, Didier},
journal={arXiv preprint arXiv:1912.05372},
year={2019},
doi={10.48550/arXiv.1912.05372}
}
@article{martin2019camembert,
title={CamemBERT: a tasty French language model},
author={Martin, Louis and Muller, Benjamin and Su{\'a}rez, Pedro Javier Ortiz and Dupont, Yoann and Romary, Laurent and de La Clergerie, {\'E}ric Villemonte and Seddah, Djam{\'e} and Sagot, Beno{\^\i}t},
journal={arXiv preprint arXiv:1911.03894},
year={2019},
doi = {10.48550/arXiv.1911.03894}
}
@inproceedings{grover2016node2vec,
title={node2vec: Scalable feature learning for networks},
author={Grover, Aditya and Leskovec, Jure},
booktitle={SIGKDD},
pages={855--864},
year={2016},
doi = {10.1145/2939672.2939754}
}
@inproceedings{ou2016asymmetric,
title={Asymmetric transitivity preserving graph embedding},
author={Ou, Mingdong and Cui, Peng and Pei, Jian and Zhang, Ziwei and Zhu, Wenwu},
booktitle={SIGKDD},
pages={1105--1114},
year={2016},
doi={10.1145/2939672.2939751}
}
@inproceedings{cao2016deep,
title={Deep neural networks for learning graph representations},
author={Cao, Shaosheng and Lu, Wei and Xu, Qiongkai},
booktitle={AAAI conference on artificial intelligence},
volume={30},
number={1},
year={2016},
doi={10.1609/aaai.v30i1.10179}
}
@inproceedings{subramanian2018spine,
title={Spine: Sparse interpretable neural embeddings},
author={Subramanian, Anant and Pruthi, Danish and Jhamtani, Harsh and Berg-Kirkpatrick, Taylor and Hovy, Eduard},
booktitle={AAAI conference on artificial intelligence},
volume={32},
number={1},
year={2018},
doi={10.48550/arXiv.1711.08792}
}
@article{blondel2008fast,
title={Fast unfolding of communities in large networks},
author={Blondel, Vincent D and Guillaume, Jean-Loup and Lambiotte, Renaud and Lefebvre, Etienne},
journal={Journal of statistical mechanics: theory and experiment},
volume={2008},
number={10},
pages={P10008},
year={2008},
doi={10.1088/1742-5468/2008/10/P10008}
}
@inproceedings{rozemberczki2020karate,
title={Karate Club: an API oriented open-source python framework for unsupervised learning on graphs},
author={Rozemberczki, Benedek and Kiss, Oliver and Sarkar, Rik},
booktitle={CIKM},
pages={3125--3132},
year={2020},
doi={10.1145/3340531.3412757}
}
@article{vrehuuvrek2011gensim,
title={Gensim—statistical semantics in python},
author={{\v{R}}eh{\uu}{\v{r}}ek, Radim and Sojka, Petr and others},
journal={Retrieved from genism.org},
year={2011},
publisher={Citeseer}
}
@inproceedings{akbik2019flair,
title={{FLAIR}: An easy-to-use framework for state-of-the-art {NLP}},
author={Akbik, Alan and Bergmann, Tanja and Blythe, Duncan and Rasul, Kashif and Schweter, Stefan and Vollgraf, Roland},
booktitle={{NAACL} (Demonstrations)},
pages={54--59},
year={2019},
doi = {10.18653/v1/N19-4010}
}
@book{vasiliev2020natural,
title={Natural language processing with Python and spaCy: A practical introduction},
author={Vasiliev, Yuli},
year={2020},
publisher={No Starch Press}
}