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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 2650 of 52 papers

TitleStatusHype
ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet ExtractionCode0
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction0
10 Years of Fair Representations: Challenges and Opportunities0
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 Learning0
Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extraction0
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet ExtractionCode0
FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction0
Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian LanguageCode0
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction0
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet ExtractionCode0
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment0
Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax KnowledgeCode0
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet ExtractionCode0
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning0
A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction0
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction0
Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction0
SAMBERT: Improve Aspect Sentiment Triplet Extraction by Segmenting the Attention Maps of BERT0
Aspect-Sentiment-Multiple-Opinion Triplet ExtractionCode0
Explicit Interaction Network for Aspect Sentiment Triplet Extraction0
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction0
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)0
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