Aspect Sentiment Triplet Extraction
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Benchmarks
Most implemented
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Position-Aware Tagging for Aspect Sentiment Triplet Extraction
A Unified Generative Framework for Aspect-Based Sentiment Analysis
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
A Multi-task Learning Framework for Opinion Triplet Extraction
Papers
MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) requires jointly identifying (aspect, opinion, sentiment) triples from a given review sentence. While large language models (LLMs) achieve strong zero-shot performance on many N…
Aspect Sentiment Triplet ExtractionACAT: A Collaborative Platform for Efficient Aspect-Based Sentiment Dataset Annotation
Aspect-Based Sentiment Analysis (ABSA) requires high-quality datasets to train reliable models. However, existing annotation tools treat output as flat files, leaving researchers to manually consolidate multi-annotator d…
Aspect Sentiment Triplet ExtractionSentiment AnalysisFine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to identify aspect terms, opinion terms, and sentiment polarities as structured triplets, providing essential inputs for downstream information system applications such as …
Aspect Sentiment Triplet ExtractionOpinion MiningPrototype-Regularized Federated Learning for Cross-Domain Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract all sentiment triplets of aspect terms, opinion terms, and sentiment polarities from a sentence. Existing methods are typically trained on individual datasets in…
Aspect Sentiment Triplet ExtractionFederated LearningSemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)
We present the SemEval-2026 shared task on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which improves traditional ABSA by modeling sentiment along valence-arousal (VA) dimensions rather than using categorical …
Aspect Sentiment Triplet ExtractionSentiment AnalysisStance DetectionAILS-NTUA at SemEval-2026 Task 3: Efficient Dimensional Aspect-Based Sentiment Analysis
In this paper, we present AILS-NTUA system for Track-A of SemEval-2026 Task 3 on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which encompasses three complementary problems: Dimensional Aspect Sentiment Regress…
Aspect Sentiment Triplet ExtractionSentiment Analysis