HyperAI
HyperAI
Startseite
Plattform
Dokumentation
Neuigkeiten
Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Nutzungsbedingungen
Datenschutzrichtlinie
Deutsch
HyperAI
HyperAI
Toggle Sidebar
Seite durchsuchen…
⌘
K
Command Palette
Search for a command to run...
Plattform
Startseite
SOTA
Relationsextraktion
Relation Extraction On Redocred
Relation Extraction On Redocred
Metriken
F1
Ign F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
F1
Ign F1
Paper Title
DREEAM
80.73
79.66
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
HingeABL
79.79
78.82
Adaptive Hinge Balance Loss for Document-Level Relation Extraction
SSR-PU
78.86
77.67
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
KD-DocRE
78.28
77.60
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
DocuNET
77.87
77.26
Document-level Relation Extraction as Semantic Segmentation
ATLOP
77.56
76.82
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
JEREX
72.57
71.45
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
0 of 7 row(s) selected.
Previous
Next
Relation Extraction On Redocred | SOTA | HyperAI