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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 26–50 of 52 papers

TitleStatusHype
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet ExtractionCode0
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet ExtractionCode0
E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple PredictionCode0
Aspect-Sentiment-Multiple-Opinion Triplet ExtractionCode0
Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax KnowledgeCode0
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian LanguageCode0
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning—0
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis—0
A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction—0
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction—0
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment—0
Boundary-Driven Table-Filling with Cross-Granularity Contrastive Learning for Aspect Sentiment Triplet Extraction—0
Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extraction—0
Explicit Interaction Network for Aspect Sentiment Triplet Extraction—0
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction—0
FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction—0
Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction—0
Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish—0
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction—0
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning—0
SAMBERT: Improve Aspect Sentiment Triplet Extraction by Segmenting the Attention Maps of BERT—0
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction—0
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction—0
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)—0
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction—0
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