HyperAI
HyperAI超神経
ホーム
ニュース
最新論文
チュートリアル
データセット
百科事典
SOTA
LLMモデル
GPU ランキング
学会
検索
サイトについて
日本語
HyperAI
HyperAI超神経
Toggle sidebar
サイトを検索…
⌘
K
ホーム
SOTA
アスペクトベースの感情分析(ABSA)
Aspect Based Sentiment Analysis Absa On Aste
Aspect Based Sentiment Analysis Absa On Aste
評価指標
F1 (L14)
F1 (R15)
F1 (R16)
F1(R14)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
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
-
0 of 13 row(s) selected.
Previous
Next
Aspect Based Sentiment Analysis Absa On Aste | SOTA | HyperAI超神経