1. Akbik, A., Bergmann, T., Blythe, D., Rasul, K., Schweter, S., Vollgraf, R.: FLAIR: an easy-to-use framework for state-of-the-art NLP. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (demonstrations), pp. 54–59. Association for Computational Linguistics, Minneapolis, Minnesota, June 2019. https://www.aclweb.org/anthology/N19-4010
2. Akbik, A., Blythe, D., Vollgraf, R.: Contextual string embeddings for sequence labeling. In: Proceedings of the 27th International Conference on Computational Linguistics, pp. 1638–1649. Association for Computational Linguistics, Santa Fe, New Mexico, USA, August 2018. http://www.aclweb.org/anthology/C18-1139
3. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135–146 (2017). https://www.aclweb.org/anthology/Q17-1010
4. Bollmann, M.: A large-scale comparison of historical text normalization systems. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 3885–3898. Association for Computational Linguistics, Minneapolis, Minnesota (2019). https://doi.org/10.18653/v1/N19-1389
5. Borin, L., Kokkinakis, D., Olsson, L.J.: Naming the past: named entity and animacy recognition in 19th century Swedish literature. In: Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaT-eCH 2007), pp. 1–8 (2007)