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An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| combine adaptive mean-teacher pseudo-label learning with adversarial domain alignment | cross-domain ABSA · Average (10 transfer pairs) | F1: 34.61 -> 37.67 | Helped |
| remove the domain discriminator (ablation) | AHF · Average (10 transfer pairs) | F1: 37.67 -> 34.17 | Hurt |
| add adversarial domain-discriminator training (ablation) | AHF task classifier · Average (10 transfer pairs) | F1: 35.07 -> 37.67 | Helped |
| replace automatic thresholding with one fixed threshold of 0.9 (ablation) | AHF adaptive mean teacher · Average (10 transfer pairs) | F1: 37.67 -> 32.65 | Hurt |
| replace automatic thresholding with fixed thresholds for O and aspect labels (ablation) | AHF adaptive mean teacher · Average (10 transfer pairs) | F1: 37.67 -> 35.02 | Hurt |
| add automatic confidence thresholding for pseudo-label filtering (ablation) | AHF adaptive mean teacher · Average (10 transfer pairs) | F1: 32.65 -> 37.67 | Helped |
| remove the domain-similarity weight from the pseudo-label loss (ablation) | AHF · Average (10 transfer pairs) | F1: 37.67 -> 37.05 | Hurt |
| add domain-similarity weighting to the pseudo-label loss (ablation) | AHF adaptive mean teacher · Average (10 transfer pairs) | F1: 37.05 -> 37.67 | Helped |
Closest papers by meaning
- Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning (AAAI 2020 · similarity 0.88)
- Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction (AAAI 2024 · similarity 0.85)
- Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations (AAAI 2024 · similarity 0.85)
- Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification (AAAI 2025 · similarity 0.84)
- Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection (AAAI 2024 · similarity 0.84)
- You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification (AAAI 2024 · similarity 0.84)
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