Relation Extraction On Tacred
Metrics
F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1 |
|---|---|
| deepstruct-pretraining-of-language-models-for-1 | 76.8 |
| improving-relation-extraction-by-pre-trained-1 | 67.4 |
| beyond-word-attention-using-segment-attention | 67.6 |
| attention-guided-graph-convolutional-networks | 68.2 |
| luke-deep-contextualized-entity | - |
| k-adapter-infusing-knowledge-into-pre-trained | 72.04 |
| graph-convolution-over-pruned-dependency | 66.4 |
| an-improved-baseline-for-sentence-level | 74.6 |
| graph-convolution-over-pruned-dependency | 68.2 |
| kepler-a-unified-model-for-knowledge | 71.7 |
| attention-guided-graph-convolutional-networks | 65.1 |
| enhancing-targeted-minority-class-prediction | 75.4 |
| ernie-enhanced-language-representation-with | 67.97 |
| simplifying-graph-convolutional-networks | 67.0 |
| relation-classification-with-entity-type | 75.2 |
| spanbert-improving-pre-training-by | 70.8 |
| label-verbalization-and-entailment-for | 71.0 |
| knowledge-enhanced-contextual-word | 71.5 |
| aligning-instruction-tasks-unlocks-large | 52.2 |
| learning-from-context-or-names-an-empirical | 69.5 |
| improving-sentence-level-relation-extraction | 75.0 |
| structured-prediction-as-translation-between-1 | 71.9 |
| label-verbalization-and-entailment-for | 73.9 |
| retrieval-augmented-generation-based-relation | 86.6 |
| improving-relation-extraction-by-pre-trained-1 | 67.4 |
| summarization-as-indirect-supervision-for | 75.1 |
| simple-bert-models-for-relation-extraction | 67.8 |
| learning-from-noisy-labels-for-entity-centric | 73.0 |
| unified-semantic-typing-with-meaningful-label | 75.5 |
| sequence-generation-with-label-augmentation | 71.2 |
| denert-kg-named-entity-and-relation | 72.4 |
| graph-convolution-over-pruned-dependency | 67.1 |
| generative-prompt-tuning-for-relation-1 | 75.3 |
| relation-extraction-as-two-way-span | 74.8 |
| efficient-long-distance-relation-extraction | 71.5 |
| graph-convolution-over-pruned-dependency | 64.0 |
| enriching-pre-trained-language-model-with | 69.4 |
| gdpnet-refining-latent-multi-view-graph-for | 70.5 |
| matching-the-blanks-distributional-similarity | 71.5 |
| position-aware-attention-and-supervised-data | 65.1 |