ITER: Iterative Transformer-based Entity Recognition and Relation Extraction | ✓ Link | 85.6 ± 1.42 | | 92.63 ± 0.89 | ITER | 2024-11-11 |
An Information Extraction Study: Take In Mind the Tokenization! | ✓ Link | 83.9 | | 91.5 | PFN (ALBERT XXL, average aggregation) | 2023-03-27 |
Deeper Task-Specificity Improves Joint Entity and Relation Extraction | ✓ Link | 83.74 | | 89.48 | Deeper | 2020-02-15 |
A Partition Filter Network for Joint Entity and Relation Extraction | ✓ Link | 83.2 | | 91.3 | PFN (ALBERT XXL, no aggregation) | 2021-08-27 |
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity Types | ✓ Link | 82.39 | | 91.14 | SpERT.PL (without overlap and BioBERT) | 2021-09-30 |
REBEL: Relation Extraction By End-to-end Language generation | ✓ Link | 82.2 | | | REBEL (including overlapping entities) | 2021-10-29 |
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity Types | ✓ Link | 82.03 | | 91.17 | SpERT.PL (with overlap and BioBERT) | 2021-09-30 |
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction | | 81.14 | | 89.40 | CMAN | 2020-07-01 |
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders | ✓ Link | 80.1 | 80.1 | 89.7 | Table-Sequence | 2020-10-08 |
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning | ✓ Link | 79.97 | | 88.3 | CLDR + CLNER | 2021-09-02 |
Span-based Joint Entity and Relation Extraction with Transformer Pre-training | ✓ Link | 79.24 | | 89.25 | SpERT (without overlap) | 2019-09-17 |
Span-based Joint Entity and Relation Extraction with Transformer Pre-training | ✓ Link | 78.84 | | 89.28 | SpERT (with overlap) | 2019-09-17 |
Neural Metric Learning for Fast End-to-End Relation Extraction | | 77.19 | | 87.02 | Relation-Metric | 2019-05-17 |
Adversarial training for multi-context joint entity and relation extraction | ✓ Link | 75.52 | | 86.73 | multi-head + AT | 2018-08-21 |
Joint entity recognition and relation extraction as a multi-head selection problem | ✓ Link | 74.58 | | 86.40 | multi-head | 2018-04-20 |