SOTAVerified

Aspect Extraction

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.

Papers

Showing 125 of 92 papers

TitleStatusHype
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge GraphsCode4
Automated Concatenation of Embeddings for Structured PredictionCode1
Adversarial Training for Aspect-Based Sentiment Analysis with BERTCode1
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisCode1
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extractionCode1
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment AnalysisCode1
Modelling Context and Syntactical Features for Aspect-based Sentiment AnalysisCode1
Structure-Level Knowledge Distillation For Multilingual Sequence LabelingCode1
InstructABSA: Instruction Learning for Aspect Based Sentiment AnalysisCode1
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect ExtractionCode1
Automatic Controllable Product Copywriting for E-CommerceCode1
Improving BERT Performance for Aspect-Based Sentiment AnalysisCode1
Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional NetworksCode1
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural NetworksCode1
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain ReviewsCode1
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect ExtractionCode1
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment AnalysisCode0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNNCode0
A Wide Evaluation of ChatGPT on Affective Computing TasksCode0
Does local pruning offer task-specific models to learn effectively ?Code0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Double Embeddings and CNN-based Sequence Labeling for Aspect ExtractionCode0
Automatic Aspect Extraction from Scientific TextsCode0
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRFCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InstructABSALaptop (F1)92.3Unverified
2ACELaptop (F1)87.4Unverified
3PH-SUMLaptop (F1)86.09Unverified
4BATLaptop (F1)85.57Unverified
5DE-CNNRestaurant (F1)85.2Unverified
6Wei et al. (2020)Laptop (F1)82.7Unverified
#ModelMetricClaimedVerifiedStatus
1ACERestaurant (F1)80.3Unverified
2Wei et al. (2020)Restaurant (F1)72.7Unverified
3DE-CNNRestaurant (F1)68.28Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNLaptop (F1)81.59Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNRestaurant (F1)74.37Unverified
#ModelMetricClaimedVerifiedStatus
1RACL - LaptopsF123Unverified