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

Markus Frohmann et al. (2024)

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DOI: 10.48550/ARXIV.2406.16678

access: open

type: Informal or Other Publication

metadata version: 2024-07-22

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  - journals/corr/abs-2406-16678
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  - https://dblp.org/rec/journals/corr/abs-2406-16678
Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl:
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. CoRR abs/2406.16678 (2024)

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