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Models/Global

Global

Reported on 10 benchmarks across 3 tasks · 2 papers · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing10 results

Entity DisambiguationonMSNBC
Micro-F1· 2017-04-17
93.7
best: 96.3 (confidence-order)
SOTA
Deep Joint Entity Disambiguation with Local Neural Attention arXiv:1704.04920
Entity DisambiguationonACE2004
Micro-F1· 2017-04-17
88.5
best: 93.4 (KBED)
SOTA
Deep Joint Entity Disambiguation with Local Neural Attention arXiv:1704.04920
Entity DisambiguationonAQUAINT
Micro-F1· 2017-04-17
88.5
best: 93.5 (confidence-order)
SOTA
Deep Joint Entity Disambiguation with Local Neural Attention arXiv:1704.04920
Entity DisambiguationonWNED-CWEB
Micro-F1· 2017-04-17
77.9
best: 79.4 (ReFinED)
SOTA
Deep Joint Entity Disambiguation with Local Neural Attention arXiv:1704.04920
Coreference ResolutiononOntoNotes
F1· 2016-04-11
64.21
best: 83.6 (Maverick_mes)
SOTA
Learning Global Features for Coreference Resolution arXiv:1604.03035
Entity DisambiguationonAIDA-CoNLL
In-KB Accuracy· 2017-04-17
92.22
best: 95 (confidence-order)
Deep Joint Entity Disambiguation with Local Neural Attention arXiv:1704.04920
Relation ExtractiononACE 2005
NER Micro F1
83.6
best: 91.3 (ASP+T5-3B)
Relation ExtractiononACE 2005
RE+ Micro F1
57.5
best: 71.1 (PL-Marker)
Relation ExtractiononCoNLL04
NER Micro F1
85.6
best: 90.3 (ASP+T0-3B)
Relation ExtractiononCoNLL04
RE+ Micro F1
67.8
best: 78.1 (ReLiK-Large)