Relation Extraction On Nyt10 Hrl
Metrics
F1
Results
Performance results of various models on this benchmark
| Paper Title | Code | ||
|---|---|---|---|
| ReRe | 73.95 | Revisiting the Negative Data of Distantly Supervised Relation Extraction | |
| ReRe (exact) | 73.4 | Revisiting the Negative Data of Distantly Supervised Relation Extraction | |
| TPLinker | 72.45 | TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking | |
| TPLinker Wang et al. (2020)* | 72.45 | Revisiting the Negative Data of Distantly Supervised Relation Extraction | |
| TPLinker | 71.93 | TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking | |
| TPLinker Wang et al. (2020)*(exact) | 71.93 | Revisiting the Negative Data of Distantly Supervised Relation Extraction | |
| CasRel (exact) | 70.11 | A Novel Cascade Binary Tagging Framework for Relational Triple Extraction | |
| CasRel (exact) | 70.11 | Revisiting the Negative Data of Distantly Supervised Relation Extraction | |
| HRL | 64.4 | A Hierarchical Framework for Relation Extraction with Reinforcement Learning | |
| HRL Takanobu et al. (2019) | 64.4 | Revisiting the Negative Data of Distantly Supervised Relation Extraction |
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