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Entity Resolution
벤치마크
Entity Resolution on WDC Computers-small
12개 결과 ·
⬇ CSV
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F1 (%)
77.55
82.3
87.04
91.78
96.53
2020-04
2026-11
Ditto — 80.76 (2020-04-01)
Ditto — 80.76 (2020-04-01)
BERT — 96.53 (2020-08-31)
BERT — 96.53 (2020-08-31)
JointBERT — 77.55 (2021-06-01)
JointBERT — 77.55 (2021-06-01)
RoBERTa-SupCon — 95.21 (2022-02-04)
RoBERTa-SupCon — 95.21 (2022-02-04)
HG — 88.5 (2022-06-01)
DADER-MMD — 88.0 (2022-06-01)
HG — 88.5 (2022-06-01)
DADER-MMD — 88.0 (2022-06-01)
Ditto — 80.76 (2020-04-01)
BERT — 96.53 (2020-08-31)
2020-04-01 — Ditto: F1 (%) 80.76
2020-08-31 — BERT: F1 (%) 96.53
Rank
Model
F1 (%)
Extra Training Data
Paper
Code
Year
1
BERT
96.53
✓
Intermediate Training of BERT for Product Matching
weyoun2211/productbert-intermediate
·
wbsg-uni-mannheim/productbert-intermediate
2020
2
RoBERTa-SupCon
95.21
Supervised Contrastive Learning for Product Matching
wbsg-uni-mannheim/contrastive-product-matching
2022
3
HG
88.50
Entity Resolution with Hierarchical Graph Attention Networks
CGCL-codes/HierGAT
2022
4
DADER-MMD
88.00
Domain Adaptation for Deep Entity Resolution: A Design Space Exploration
ruc-datalab/DADER
2022
5
Ditto
80.76
Deep Entity Matching with Pre-Trained Language Models
megagonlabs/ditto
2020
6
JointBERT
77.55
Dual-Objective Fine-Tuning of BERT for Entity Matching
wbsg-uni-mannheim/jointbert
2021
7
BERT
96.53
✓
Intermediate Training of BERT for Product Matching
weyoun2211/productbert-intermediate
·
wbsg-uni-mannheim/productbert-intermediate
2020
8
RoBERTa-SupCon
95.21
Supervised Contrastive Learning for Product Matching
wbsg-uni-mannheim/contrastive-product-matching
2022
9
HG
88.50
Entity Resolution with Hierarchical Graph Attention Networks
CGCL-codes/HierGAT
2022
10
DADER-MMD
88.00
Domain Adaptation for Deep Entity Resolution: A Design Space Exploration
ruc-datalab/DADER
2022
11
Ditto
80.76
Deep Entity Matching with Pre-Trained Language Models
megagonlabs/ditto
2020
12
JointBERT
77.55
Dual-Objective Fine-Tuning of BERT for Entity Matching
wbsg-uni-mannheim/jointbert
2021
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