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Found 5 papers, 3 papers with code
Document Understanding Dataset and Evaluation (DUDE)
We call on the Document AI (DocAI) community to reevaluate current methodologies and embrace the challenge of creating more practically-oriented benchmarks.
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data
In recent years, the field of document understanding has progressed a lot.
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
The relevance of the Key Information Extraction (KIE) task is increasingly important in natural language processing problems.
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
State-of-the-art solutions for Natural Language Processing (NLP) are able to capture a broad range of contexts, like the sentence-level context or document-level context for short documents.
LAMBERT: Layout-Aware (Language) Modeling for information extraction
We introduce a simple new approach to the problem of understanding documents where non-trivial layout influences the local semantics.
Ranked #3 on
Key Information Extraction
on Kleister NDA
