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Aspect Sentiment Triplet Extraction On Aste

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
F1
Paper TitleRepository
GTS68.17Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction-
CONTRASTE74.1CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction-
ASTE-RL69.61Aspect Sentiment Triplet Extraction Using Reinforcement Learning-
MiniConGTS75.59MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction-
SBN74.34A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction-
GAS72.16Towards Generative Aspect-Based Sentiment Analysis
JET63.83Position-Aware Tagging for Aspect Sentiment Triplet Extraction-
SPAN-ASTE71.85Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction-
TOP68.16First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction-
BARTABSA67.62A Unified Generative Framework for Aspect-Based Sentiment Analysis-
NAT72.84Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction-
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Aspect Sentiment Triplet Extraction On Aste | SOTA | HyperAI