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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
Learning Span-Level Interactions for Aspect Sentiment Triplet ExtractionCode1
Explicit Interaction Network for Aspect Sentiment Triplet Extraction—0
A Unified Generative Framework for Aspect-Based Sentiment AnalysisCode1
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction—0
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)—0
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction—0
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis—0
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion ExtractionCode1
Position-Aware Tagging for Aspect Sentiment Triplet ExtractionCode1
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