HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Named Entity Recognition (NER)
Named Entity Recognition On Dwie
Named Entity Recognition On Dwie
Metrics
F1-Hard
Results
Performance results of various models on this benchmark
Columns
Model Name
F1-Hard
Paper Title
REXEL
90.59
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
KB-both
75.0
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
Joint+RelProp
74.8
DWIE: an entity-centric dataset for multi-task document-level information extraction
0 of 3 row(s) selected.
Previous
Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Named Entity Recognition (NER)
Named Entity Recognition On Dwie
Named Entity Recognition On Dwie
Metrics
F1-Hard
Results
Performance results of various models on this benchmark
Columns
Model Name
F1-Hard
Paper Title
REXEL
90.59
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
KB-both
75.0
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
Joint+RelProp
74.8
DWIE: an entity-centric dataset for multi-task document-level information extraction
0 of 3 row(s) selected.
Previous
Next
Named Entity Recognition On Dwie | SOTA | HyperAI