Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2406.16678
Cited By
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
24 June 2024
Markus Frohmann
Igor Sterner
Ivan Vulić
Benjamin Minixhofer
Markus Schedl
VLM
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation"
5 / 5 papers shown
Title
NaijaNLP: A Survey of Nigerian Low-Resource Languages
Isa Inuwa-Dutse
37
0
0
27 Feb 2025
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
Zhiyin Tan
Jennifer D'Souza
ELM
63
0
0
11 Feb 2025
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset
Tobias Brugger
Matthias Sturmer
Joel Niklaus
AILaw
23
5
0
02 May 2023
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
PySBD: Pragmatic Sentence Boundary Disambiguation
Nipun Sadvilkar
Mark Neumann
38
76
0
19 Oct 2020
1