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Segment any Text

non-profit
https://github.com/segment-any-text/wtpsplit
FrohmannM
segment-any-text

AI & ML interests

https://arxiv.org/abs/2406.16678

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Authors of the paper Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation.

We host state-of-the-art sentence segmentation models.

Collections 2

SaT Supervised Mixture (SM) Models
SaT (Segment any Text) models, further trained on a Supervised Mixture of diverse styles and corruptions. Universal Sentence Segmentation models!

models 15

datasets

None public yet