Institutional Newspapers Pipeline: Deriving billions of high quality tokens from historical newspapers
Paper • 2608.18972 • Published • 13
AI & ML interests
None defined yet.
Recent Activity
View all activity
Papers
Institutional Newspapers Pipeline: Deriving billions of high quality tokens from historical newspapers
Institutional Books - Visual Elements: An open-source pipeline for extracting, classifying, deduplicating, and captioning visual elements from digital book collections
MatteoCargnelutti
submitted a
paper to Daily Papers 16 days ago
MatteoCargnelutti
updated a
model 17 days ago
davidlowryduda
authored 2
papers 18 days ago
Institutional Books - Visual Elements: An open-source pipeline for extracting, classifying, deduplicating, and captioning visual elements from digital book collections
Paper • 2608.18957 • Published • 1
Institutional Books - Enriched Text: A customizable multilingual open-source pipeline for denoising, deduplicating, and annotating OCR text at scale
Paper • 2608.19026 • Published • 3
MatteoCargnelutti
authored a
paper 24 days ago
jimmymendez
authored a
paper 24 days ago
MatteoCargnelutti
authored a
paper 24 days ago
MatteoCargnelutti
authored a
paper 29 days ago
MatteoCargnelutti
updated 2
collections 29 days ago
MatteoCargnelutti
updated a
collection 30 days ago
MatteoCargnelutti
published 2
models 30 days ago
MatteoCargnelutti
published a
dataset 30 days ago