Aspect-oriented Opinion Extraction
4 papers with code • 1 benchmarks • 2 datasets
Extracting the paired opinion terms for every given aspect term in a sentence.
Benchmarks
These leaderboards are used to track progress in Aspect-oriented Opinion Extraction
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SemEval-2014 Task-4
Most implemented papers
A Unified Generative Framework for Aspect-Based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling
In this paper, we propose a novel sequence labeling subtask for ABSA named TOWE (Target-oriented Opinion Words Extraction), which aims at extracting the corresponding opinion words for a given opinion target.
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
1429904852/LOTN
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In this paper, we propose a novel model to transfer these opinions knowledge from resource-rich review sentiment classification datasets to low-resource task TOWE.
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
ju-resplande/dlb_absapt2022
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Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence.
