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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

Model Name	F1 (L14)	F1 (R15)	F1 (R16)	F1(R14)	Paper Title	Repository
MvP (multi-task)	65.30	69.44	73.10	76.30	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction	-
Paraphrase	61.13	62.56	71.70	72.03	Aspect Sentiment Quad Prediction as Paraphrase Generation	-
ChatGPT (gpt-3.5-turbo, few-shot)	38.12	-	-	-	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction	-
AugABSA	62.66	65.80	74.23	73.76	Generative Data Augmentation for Aspect Sentiment Quad Prediction
GAS	58.19	60.23	69.05	70.52	Towards Generative Aspect-Based Sentiment Analysis
ChatGPT (gpt-3.5-turbo, zero-shot)	36.05	-	-	-	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction	-
DLO	61.46	64.26	73.03	72.39	Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation	-
ASTE-Transformer	64.90	72.10	76.19	76.06	ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extraction	-
MvP	63.33	65.89	73.48	74.05	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction	-
Seq2Path	64.82	65.88	72.87	75.52	Seq2Path: Generating Sentiment Tuples as Paths of a Tree	-
LEGO-ABSA (multi-task)	62.20	64.40	69.90	73.70	LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis	-
UIE	62.94	64.41	72.86	72.55	Unified Structure Generation for Universal Information Extraction	-
Span-ASTE	59.38	63.27	70.26	71.85	Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction	-

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