Research map / Label-efficient and robust learning / Domain adaptation and generalization
Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Hier-Joint with rule-based auxiliary labels instead of direct source training | Direct-2 LSTM · Cross-domain OTE average (12 pairs) | F1: 0.281 -> 0.342 | Helped |
| joint instead of separate training (ablation) | Hierarchical network · Cross-domain OTE average (12 pairs) | F1: 0.297 -> 0.342 | Helped |
| joint instead of separate training (ablation) | Concatenated network · Cross-domain OTE average (12 pairs) | F1: 0.265 -> 0.280 | Helped |
| hierarchical instead of concatenated network (ablation) | joint training model · Cross-domain OTE average (12 pairs) | F1: 0.280 -> 0.342 | Helped |
| naively mixing auxiliary-labeled target data with source data | Direct LSTM · Cross-domain OTE average (12 pairs) | F1: 0.265 -> 0.252 | Hurt |
| LSTM instead of RNN/BiRNN/BiLSTM (ablation) | Hier-Joint · Device target | F1 | Helped |
| hidden dim beyond 100 (ablation) | Hier-Joint · Device target | F1 | Hurt |
| prune rules by source-domain precision (ablation) | Hier-Joint · Device target | F1 | Mixed |
Closest papers by meaning
- A Unified Model for Opinion Target Extraction and Target Sentiment Prediction (AAAI 2019 · similarity 0.88)
- Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction (AAAI 2019 · similarity 0.85)
- Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction (AAAI 2020 · similarity 0.85)
- An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis (AAAI 2021 · similarity 0.83)
- Automatic Rule Extraction from Long Short Term Memory Networks (ICLR 2017 · similarity 0.83)
- Gated Neural Networks for Targeted Sentiment Analysis (AAAI 2016 · similarity 0.83)
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