Semantic Entity Labeling On Funsd
المقاييس
F1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | F1 |
---|---|
layoutlmv2-multi-modal-pre-training-for | 84.2 |
structextv2-masked-visual-textual-prediction | 91.82 |
doc2graph-a-task-agnostic-document | 82.25 |
xdoc-unified-pre-training-for-cross-format | 89.4 |
lilt-a-simple-yet-effective-language | 88.41 |
layoutlmv3-pre-training-for-document-ai-with | 92.08 |
modeling-layout-reading-order-as-ordering | 91.84 |
reading-order-matters-information-extraction | 85.16 |
doctr-document-transformer-for-structured | 84 |
ernie-layout-layout-knowledge-enhanced-pre | 93.12 |
layoutlmv2-multi-modal-pre-training-for | 82.76 |
layoutmask-enhance-text-layout-interaction-in | 93.20 |
geolayoutlm-geometric-pre-training-for-visual | 92.86 |
layoutmask-enhance-text-layout-interaction-in | 92.91 |
structextv2-masked-visual-textual-prediction | 89.23 |