Aspect Based Sentiment Analysis On Semeval 5
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F1
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이 벤치마크에서 각 모델의 성능 결과
모델 이름 | F1 | Paper Title | Repository |
|---|---|---|---|
| Double-propagation | 27.1 | - | - |
| SPAN | 68.06 | Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification | - |
| IMN | 58.37 | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis | - |
| RACL-BERT | 63.4 | Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis | |
| E2E-TBSA | 57.9 | A Unified Model for Opinion Target Extraction and Target Sentiment Prediction | - |
| FS-ABSA | 71.16 | A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis | |
| BERT-E2E-ABSA | 61.12 | Exploiting BERT for End-to-End Aspect-based Sentiment Analysis | - |
| InstructABSA | 79.34 | InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis | - |
| DOER | 60.35 | DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction | - |
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