Papers by Robin Meister
Cheap Character Noise for OCR-Robust Multilingual Embeddings (2025.findings-acl)
Copied to clipboard
| Challenge: | Optical character recognition (OCR) is a key component of the digitization of historical documents. |
| Approach: | They propose a method that fine-tunes existing multilingual models using noisy texts and a contrastive loss. |
| Outcome: | The proposed model improves on the training data of existing models using noisy texts and a contrastive loss. |