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Aspect Term Extraction and Sentiment Classification

Extracting the aspect terms as well as the corresponding sentiment polarities simultaneously.

Papers

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Showing 1–14 of 14 papers

TitleStatusHype
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble ApproachesCode0
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet ExtractionCode1
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment AnalysisCode1
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning—0
A Unified Generative Framework for Aspect-Based Sentiment AnalysisCode1
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis—0
Constituency Lattice Encoding for Aspect Term ExtractionCode0
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment AnalysisCode1
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction—0
Unsupervised Neural Aspect Extraction with Sememes—0
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment AnalysisCode1
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and ClassificationCode0
LICD: A Language-Independent Approach for Aspect Category Detection—0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks—0
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