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

Markus Frohmann et al. (2024)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-11-14

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  - electronic edition @ aclanthology.org (open access)
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  dblp key:
  - conf/emnlp/FrohmannSVMS24
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  persistent URL:
  - https://dblp.org/rec/conf/emnlp/FrohmannSVMS24
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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