Research map / Label-efficient and robust learning / Recognition and long-tail
Learning Latent Opinions for Aspect-level Sentiment Classification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace standard attention with segmentation attention (CRF) (ablation) | A-LSTM · SemEval-2014 Laptop | accuracy: 72.7 -> 74.5 | Helped |
| replace standard attention with segmentation attention (CRF) (ablation) | A-LSTM · SemEval-2014 Restaurant | accuracy: 78.4 -> 79.8 | Helped |
| add span regularizers (ablation) | SA-LSTM · SemEval-2014 Restaurant | accuracy: 79.8 -> 81.6 | Helped |
| add span regularizers (ablation) | SA-LSTM · Twitter | accuracy: 69.9 -> 69.0 | Hurt |
| add BiLSTM before attention (ablation) | SA-Softmax · SemEval-2014 Laptop | accuracy: 69.0 -> 74.5 | Helped |
| replace standard attention with segmentation attention plus regularizers (ablation) | A-LSTM · SemEval-2016 Turkish | accuracy: 86.2 -> 83.7 | Hurt |
| add span regularizers (ablation) | SA-LSTM · SemEval-2016 Spanish | accuracy: 83.8 -> 88.0 | Helped |
| replace standard attention with segmentation attention (ablation) | A-LSTM · Laptop opinion extraction | precision: 48.4 -> 25.5 | Hurt |
| add span regularizers (ablation) | SA-LSTM · Laptop opinion extraction | precision: 25.5 -> 49.1 | Helped |
Closest papers by meaning
- Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis (AAAI 2018 · similarity 0.90)
- Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM (AAAI 2018 · similarity 0.89)
- Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification (AAAI 2020 · similarity 0.88)
- You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification (AAAI 2024 · similarity 0.87)
- Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations (AAAI 2024 · similarity 0.86)
- Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification (AAAI 2025 · similarity 0.85)
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