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Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting the triplets of target entities, their associated sentiment, and opinion spans explaining the reason for the sentiment.

Papers

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Showing 41–50 of 52 papers

TitleStatusHype
10 Years of Fair Representations: Challenges and Opportunities—0
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian LanguageCode0
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet ExtractionCode0
Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax KnowledgeCode0
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet ExtractionCode0
E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple PredictionCode0
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation ModelsCode0
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet ExtractionCode0
ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet ExtractionCode0
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet ExtractionCode0
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