Bibliografie

Buc25

Isabella Buck. Wissenschaftliches Schreiben mit KI. Studieren, aber richtig. UVK Verlag, Konstanz, 1 edition, March 2025. ISBN 9783825263652. doi:10.36198/9783838563657.

CWW+24

Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, and Xing Xie. A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol., March 2024. URL: https://doi.org/10.1145/3641289, doi:10.1145/3641289.

CDF+24

Alexander Czmiel, Stefan Dumont, Franz Fischer, Christopher Pollin, Patrick Sahle, Torsten Schaßan, Martina Scholger, Georg Vogeler, Torsten Roeder, Christiane Fritze, and Ulrike Henny-Krahmer. Generative KI, LLMs und GPT bei digitalen Editionen. February 2024. URL: https://doi.org/10.5281/zenodo.10698210, doi:10.5281/zenodo.10698210.

JZH21

Christian Janiesch, Patrick Zschech, and Kai Heinrich. Machine learning and deep learning. Electronic Markets, 31(3):685–695, September 2021. URL: https://doi.org/10.1007/s12525-021-00475-2, doi:10.1007/s12525-021-00475-2.

JKR17

Fotis Jannidis, Hubertus Kohle, and Malte Rehbein. Digital Humanities. Eine Einführung. J.B. Metzler Stuttgart, 2017. ISBN 978-3-476-02622-4. URL: https://doi.org/10.1007/978-3-476-05446-3, doi:10.1007/978-3-476-05446-3.

LSHL22

Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li. A Survey on Deep Learning for Named Entity Recognition. IEEE Transactions on Knowledge and Data Engineering, 34(1):50–70, 2022. doi:10.1109/TKDE.2020.2981314.

OP25

Sarah Oberbichler and Cindarella Petz. Working Paper: Implementing Generative AI in the Historical Studies. February 2025. URL: https://doi.org/10.5281/zenodo.14924737, doi:10.5281/zenodo.14924737.

SBS18

Dipanjan Sarkar, Raghav Bali, and Tushar Sharma. Practical Machine Learning with Python. Apress, 2018. ISBN 978-1-4842-3207-1. doi:10.1007/978-1-4842-3207-1.