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Multi Label Text Classification On Eur Lex
평가 지표
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nDCG@5
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||||||
|---|---|---|---|---|---|---|
| bert-base | - | - | 68.7 | - | 82.3 | Large-Scale Multi-Label Text Classification on EU Legislation |
| NLP-Cap | 80.2 | 65.48 | 52.83 | 71.11 | 68.8 | Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications |
| LAHA | 74.95 | 61.48 | 50.71 | 64.89 | 59.28 | Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification |
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