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Found 11 papers, 6 papers with code
LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis
Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks.
A Large Dataset of Historical Japanese Documents with Complex Layouts
Deep learning-based approaches for automatic document layout analysis and content extraction have the potential to unlock rich information trapped in historical documents on a large scale.
LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models
By combining transformer language models with intuitive APIs that will be familiar to many users of popular string matching packages, LinkTransformer aims to democratize the benefits of LLMs among those who may be less familiar with deep learning frameworks.
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation
Document images often have intricate layout structures, with numerous content regions (e. g. texts, figures, tables) densely arranged on each page.
Efficient OCR for Building a Diverse Digital History
Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history.
Quantifying Character Similarity with Vision Transformers
Not all character substitutions are equally probable, and for some settings there are widely used handcrafted lists denoting which string substitutions are more likely, that improve the accuracy of string matching.
Information Extraction from Text Regions with Complex Tabular Structure
Recent innovations have improved layout analysis of document images, significantly improving our ability to identify text and non-text regions.
Noise-Robust De-Duplication at Scale
Identifying near duplicates within large, noisy text corpora has a myriad of applications that range from de-duplicating training datasets, reducing privacy risk, and evaluating test set leakage, to identifying reproduced news articles and literature within large corpora.
Linking Representations with Multimodal Contrastive Learning
CLIPPINGS outperforms widely used string matching methods by a wide margin and also outperforms unimodal methods.
EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge
Given the diversity and sheer quantity of public domain texts, liberating them at scale requires optical character recognition (OCR) that is accurate, extremely cheap to deploy, and sample-efficient to customize to novel collections, languages, and character sets.
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
The resulting American Stories dataset provides high quality data that could be used for pre-training a large language model to achieve better understanding of historical English and historical world knowledge.
