Subjectivity Analysis On Subj
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| all-but-the-top-simple-and-effective | 91.85 |
| entailment-as-few-shot-learner | 97.1 |
| vector-of-locally-aggregated-word-embeddings | 95.0 |
| an-empirical-evaluation-of-word-embedding | 96.60 |
| 190600095 | 92.34 |
| investigating-capsule-networks-with-dynamic | 93.8 |
| universal-sentence-encoder | 93.90 |
| 모델 8 | 93.60 |
| a-la-carte-embedding-cheap-but-effective | 94.7 |
| dual-contrastive-learning-text-classification | 97.34 |
| baseline-needs-more-love-on-simple-word | 93 |
| learning-to-generate-reviews-and-discovering | 94.60 |
| self-adaptive-hierarchical-sentence-model | 95.50 |
| translations-as-additional-contexts-for | 94.80 |
| learning-distributed-representations-of | 90.8 |
| an-empirical-evaluation-of-word-embedding | 97.30 |