"Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable ..."

Markus Frohmann et al. (2024)

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DOI: 10.18653/V1/2024.EMNLP-MAIN.665

access: open

type: Conference or Workshop Paper

metadata version: 2025-06-13

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Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl:
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. EMNLP 2024: 11908-11941

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