Entity Linking On Funsd
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| SINGU_GROUP | 70.51 | DGCN Based Solution for Entity Linking on Visual Rich Document | - |
| RORE (GeoLayoutLM) | 88.46 | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding | |
| GeoLayoutLM | 89.45 | GeoLayoutLM: Geometric Pre-training for Visual Information Extraction | |
| TPP (LayoutMask) | 79.20 | Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction | - |
| SERA | 65.96 | Entity Relation Extraction as Dependency Parsing in Visually Rich Documents | - |
| Doc2Graph | 53.36 | Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks | |
| DocTr | 73.9 | DocTr: Document Transformer for Structured Information Extraction in Documents | - |
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