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SOTA
Analyse de sentiment basée sur les aspects
Aspect Based Sentiment Analysis Absa On Aste
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
Columns
Nom du modèle
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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