Extract Aspect
10 papers with code • 1 benchmarks • 0 datasets
Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.
Benchmarks
These leaderboards are used to track progress in Extract Aspect
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Most implemented papers
A Multi-task Learning Framework for Opinion Triplet Extraction
GeneZC/OTE-MTL
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Findings of the Association for Computational Linguistics 2020
The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis
tshi04/DMSC_FEDA
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In addition, we also propose an Attention-driven Keywords Ranking (AKR) method, which can automatically discover aspect keywords and aspect-level opinion keywords from the review corpus based on the attention weights.
Extractive Opinion Summarization in Quantized Transformer Spaces
stangelid/qt
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We present the Quantized Transformer (QT), an unsupervised system for extractive opinion summarization.
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extraction
We introduce a hybrid technique which combines machine learning and rule based model.
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Sentiment analysis has immense implications in e-commerce through user feedback mining.
Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans
xuuuluuu/Aspect-Sentiment-Classification
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EMNLP 2020
Such a design allows the model to extract aspect-specific opinion spans and then evaluate sentiment polarity by exploiting the extracted opinion features.
Aspect-Sentiment-Multiple-Opinion Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i. e., the discussed aspect, the sentiment toward the aspect, and the cause of the sentiment.
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction
l294265421/entire-space-aste
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Aspect sentiment triplet extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences.
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
ZubinGou/multi-view-prompting
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Generative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format.
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
Multi-modal knowledge graphs (MMKGs) combine different modal data (e. g., text and image) for a comprehensive understanding of entities.
