1. Aksenov, D., Moreno-Schneider, J., Bourgonje, P., Schwarzenberg, R., Hennig, L., Rehm, G.: Abstractive text summarization based on language model conditioning and locality modeling. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, May, pp. 6680–6689 (2020).
2. Anderson, S. R.: The morpheme: Its nature and use. In M. Baerman (Ed.), The Oxford Handbook of Inflection (pp. 11–33). Oxford University Press (2015). https://doi.org/10.1093/oxfordhb/9780199591428.013.2
3. Armengol-Estapé, J., Carrino, C. P., Rodriguez-Penagos, C., de Gibert Bonet, O., Armentano-Oller, C., Gonzalez-Agirre, A., Melero, M., Villegas, M.: Are multilingual models the best choice for moderately under-resourced languages? A comprehensive assessment for Catalan. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 4933–4946 (2021). https://doi.org/10.18653/v1/2021.findings-acl.437
4. Aumiller, D., Fan, J., Gertz, M.: On the state of German (abstractive) text summarization. Github (2023). https://github.com/dennlinger/summaries, last accessed 2023/06/07.
5. Baykara, B., Güngör, T.: Turkish abstractive text summarization using pretrained sequence-to-sequence models. Natural Language Engineering 29(5), 1275–1304 (2023). https://doi.org/10.1017/s1351324922000195