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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

Showing 1120 of 52 papers

TitleStatusHype
A Unified Generative Framework for Aspect-Based Sentiment AnalysisCode1
Position-Aware Tagging for Aspect Sentiment Triplet ExtractionCode1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
A Robustly Optimized BMRC for Aspect Sentiment Triplet ExtractionCode1
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet ExtractionCode1
A semantically enhanced dual encoder for aspect sentiment triplet extractionCode1
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet ExtractionCode1
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment AnalysisCode1
Aspect Sentiment Triplet Extraction Using Reinforcement LearningCode1
Towards Generative Aspect-Based Sentiment AnalysisCode1
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