L. Buitinck, G. Louppe, M. Blondel, F. Pedregosa, A. Mueller et al., API design for machine learning software: Experiences from the scikit-learn project, European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases Workshop: Languages for Data Mining and Machine Learning, pp.108-122, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00856511

G. Durrett and D. Klein, A joint model for entity analysis: coreference, typing, and linking, Transactions of the Association for Computational Linguistics, vol.2, pp.477-490, 2014.

M. Ehrmann, M. Romanello, A. Flückiger, and S. Clematide, Overview of CLEF HIPE 2020: Named entity recognition and linking on historical newspapers, CLEF HIPE 2020, pp.1-25, 2020.

C. B. El-vaigh, F. Goasdoué, G. Gravier, and P. Sébillot, Using knowledge base semantics in context-aware entity linking, ACM Symposium on Document Engineering, vol.8, pp.1-8, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02171981

M. Francis-landau, G. Durrett, and D. Klein, Capturing semantic similarity for entity linking with convolutional neural networks, 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1256-1261, 2016.

T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, Distributed representations of words and phrases and their compositionality, Advances in Neural Information Processing Systems, pp.3111-3119, 2013.