Research map / Label-efficient and robust learning / Domain adaptation and generalization
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add aspect information with interactive attention (ablation) | IATN · Amazon reviews (avg) | accuracy: 0.837 -> 0.859 | Helped |
| IATN vs HATNh | cross-domain sentiment · Amazon reviews (avg) | accuracy: 0.851 -> 0.859 | Helped |
| use IATN sentiment features instead of HATN features | LSTM project predictor · Crowdfunding | accuracy: 0.7940 -> 0.8182 | Helped |
| use IATN sentiment features instead of HATN features | LSTM project predictor · Crowdfunding | recall: 0.6805 -> 0.6733 | Hurt |
Closest papers by meaning
- Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification (AAAI 2018 · similarity 0.93)
- An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis (AAAI 2021 · similarity 0.87)
- Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification (AAAI 2020 · similarity 0.86)
- Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction (AAAI 2019 · similarity 0.85)
- Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification (AAAI 2019 · similarity 0.85)
- Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis (AAAI 2025 · similarity 0.83)
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