%0 Conference Proceedings
%T Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
%A Frohmann, Markus
%A Sterner, Igor
%A Vulić, Ivan
%A Minixhofer, Benjamin
%A Schedl, Markus
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F frohmann-etal-2024-segment
%R 10.18653/v1/2024.emnlp-main.665
%U https://aclanthology.org/2024.emnlp-main.665/
%U https://doi.org/10.18653/v1/2024.emnlp-main.665
%P 11908-11941