1. Beryozkin, G., Drori, Y., Gilon, O., Hartman, T., Szpektor, I.: A joint named-entity recognizer for heterogeneous tag-sets using a tag hierarchy. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 140–150, Florence, Italy, July 2019. https://aclanthology.org/P19-1014
2. Coll Ardanuy, M., Beavan, D., Beelen, K., Hosseini, K., Lawrence, J.: Dataset for Toponym Resolution in Nineteenth-Century English Newspapers (2021). https://doi.org/10.23636/b1c4-py78
3. Ehrmann, M., Colavizza, G., Rochat, Y., Kaplan, F.: Diachronic evaluation of NER systems on old newspapers. In: Proceedings of the 13th Conference on Natural Language Processing (KONVENS 2016), pp. 97–107, Bochum (2016). Bochumer Linguistische Arbeitsberichte. https://infoscience.epfl.ch/record/221391
4. Ehrmann, M., Romanello, M., Flückiger, A., Clematide, S.: Impresso Named Entity Annotation Guidelines. Annotation guidelines, Ecole Polytechnique Fédérale de Lausanne (EPFL) and Zurich University (UZH), January 2020. https://zenodo.org/record/3585750
5. Ehrmann, M., Romanello, M., Flückiger, A., Clematide, S.: Extended Overview of CLEF HIPE 2020: named entity processing on historical newspapers. In: Cappellato, L., Eickhoff, C., Ferro, N., Névéol, A., (eds.), Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, vol. 2696, p. 38, Thessaloniki, Greece (2020). CEUR-WS. https://doi.org/10.5281/zenodo.4117566, https://infoscience.epfl.ch/record/281054