HyperAI

Aspect Based Sentiment Analysis Absa On Aste

Metrics

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

Results

Performance results of various models on this benchmark

Comparison Table
Model NameF1 (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