Entity Disambiguation On Aida Conll
평가 지표
In-KB Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | In-KB Accuracy |
|---|---|
| deep-joint-entity-disambiguation-with-local | 92.22 |
| refined-an-efficient-zero-shot-capable-1 | 93.9 |
| improving-entity-disambiguation-by-reasoning-1 | 90.4 |
| learning-dynamic-context-augmentation-for | 94.64 |
| autoregressive-entity-retrieval | 93.3 |
| improving-entity-linking-by-modeling-latent-2 | 93.54 |
| joint-entity-linking-with-deep-reinforcement | 94.3 |
| named-entity-recognition-for-entity-linking | 92.5 |
| robust-disambiguation-of-named-entities-in | 82.29 |
| learning-distributed-representations-of-texts | 94.7 |
| improving-entity-linking-by-modeling-latent-2 | - |
| neural-cross-lingual-entity-linking | 94.0 |
| bootleg-chasing-the-tail-with-self-supervised | - |
| deeptype-multilingual-entity-linking-by | 94.88 |
| elden-improved-entity-linking-using-densified | 93.0 |
| boosting-entity-linking-performance-by | 89.66 |
| pre-training-of-deep-contextualized | 95.0 |
| evaluating-the-impact-of-knowledge-graph | 94.94 |
| joint-learning-of-the-embedding-of-words-and | 93.1 |
| joint-learning-of-the-embedding-of-words-and | 91.5 |