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 11–20 of 52 papers

Title	Date	Tasks	Status	Hype
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction	Oct 10, 2021	Aspect Sentiment Triplet ExtractionDecoder	CodeCode Available	1
Aspect Sentiment Triplet Extraction Using Reinforcement Learning	Aug 13, 2021	Aspect Sentiment Triplet Extractionreinforcement-learning	CodeCode Available	1
Towards Generative Aspect-Based Sentiment Analysis	Aug 1, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction	Jul 26, 2021	Aspect-Based Sentiment Analysis (ABSA)Aspect Sentiment Triplet Extraction	CodeCode Available	1
A Unified Generative Framework for Aspect-Based Sentiment Analysis	Jun 8, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction	Mar 13, 2021	Aspect Sentiment Triplet ExtractionMachine Reading Comprehension	CodeCode Available	1
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction	Oct 9, 2020	Aspect-Sentiment-Opinion Triplet ExtractionAspect Sentiment Triplet Extraction	CodeCode Available	1
Position-Aware Tagging for Aspect Sentiment Triplet Extraction	Oct 6, 2020	Aspect Sentiment Triplet ExtractionPosition	CodeCode Available	1
A Multi-task Learning Framework for Opinion Triplet Extraction	Oct 4, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis	Nov 5, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1

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