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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 1–25 of 52 papers

TitleStatusHype
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction—0
Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish—0
Boundary-Driven Table-Filling with Cross-Granularity Contrastive Learning for Aspect Sentiment Triplet Extraction—0
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction—0
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet ExtractionCode0
ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet ExtractionCode0
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction—0
10 Years of Fair Representations: Challenges and Opportunities—0
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation ModelsCode0
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet ExtractionCode0
E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple PredictionCode0
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning—0
Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extraction—0
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet ExtractionCode0
FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction—0
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian LanguageCode0
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet ExtractionCode1
A semantically enhanced dual encoder for aspect sentiment triplet extractionCode1
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction—0
Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet ExtractionCode1
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet ExtractionCode0
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment—0
Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax KnowledgeCode0
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet ExtractionCode0
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