@inproceedings{frohmann-etal-2024-segment,
    title = "Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation",
    author = "Frohmann, Markus  and
      Sterner, Igor  and
      Vuli{\'c}, Ivan  and
      Minixhofer, Benjamin  and
      Schedl, Markus",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-main.665/",
    doi = "10.18653/v1/2024.emnlp-main.665",
    pages = "11908--11941"
}