Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SpERT

SpERT

Reported on 7 benchmarks across 3 tasks · 1 paper · 7 SOTA

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

Natural Language Processing6 results

Relation ExtractiononCoNLL04
NER Macro F1· 2019-09-17
86.25
best: 87 (Deeper)
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755
Relation ExtractiononCoNLL04
NER Micro F1· 2019-09-17
88.94
best: 90.3 (ASP+T0-3B)
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755
Relation ExtractiononCoNLL04
RE+ Macro F1 · 2019-09-17
72.87
best: 76.65 (REBEL)
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755
Relation ExtractiononCoNLL04
RE+ Micro F1· 2019-09-17
71.47
best: 78.1 (ReLiK-Large)
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755
Relation ExtractiononSciERC
Entity F1· 2019-09-17
70.33
best: 70.53 (SpERT.PL (SciBERT))
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755
Named Entity Recognition (NER)onSciERC
F1· uses extra data· 2019-09-17
70.33
best: 72.4 (SciDeBERTa v2)
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755

Medical1 result

Information ExtractiononSciERC
Entity F1· 2019-09-17
70.33
best: 70.53 (SpERT.PL (SciBERT))
SOTA
Span-based Joint Entity and Relation Extraction with Transformer Pre-training arXiv:1909.07755