HyperAI

Aspect Based Sentiment Analysis Absa On Aste

Métriques

F1 (L14)
F1 (R15)
F1 (R16)
F1(R14)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif
Nom du modèleF1 (L14)F1 (R15)F1 (R16)F1(R14)
mvp-multi-view-prompting-improves-aspect65.3069.4473.1076.30
aspect-sentiment-quad-prediction-as61.1362.5671.7072.03
mvp-multi-view-prompting-improves-aspect38.12---
generative-data-augmentation-for-aspect62.6665.8074.2373.76
towards-generative-aspect-based-sentiment58.1960.2369.0570.52
mvp-multi-view-prompting-improves-aspect36.05---
improving-aspect-sentiment-quad-prediction61.4664.2673.0372.39
aste-transformer-modelling-dependencies-in64.9072.1076.1976.06
mvp-multi-view-prompting-improves-aspect63.3365.8973.4874.05
seq2path-generating-sentiment-tuples-as-paths64.8265.8872.8775.52
lego-absa-a-prompt-based-task-assemblable62.2064.4069.9073.70
unified-structure-generation-for-universal62.9464.4172.8672.55
learning-span-level-interactions-for-aspect59.3863.2770.2671.85