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A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the full unified model instead of LM-LSTM-CRF | TBSA · Laptop (D_L) | F1: 56.19 -> 57.90 | Helped |
| Use the full unified model instead of HAST-TNet | TBSA · Restaurant (D_R) | F1: 67.36 -> 69.80 | Helped |
| Use the full unified model instead of HAST-TNet | TBSA · Twitter (D_T) | F1: 47.66 -> 48.01 | Helped |
| Add auxiliary target-boundary prediction to the stacked LSTMs (ablation) | Base model · Laptop (D_L) | F1: 52.61 -> 54.31 | Helped |
| Add auxiliary target-boundary prediction to the stacked LSTMs (ablation) | Base model · Restaurant (D_R) | F1: 63.73 -> 66.96 | Helped |
| Add auxiliary target-boundary prediction to the stacked LSTMs (ablation) | Base model · Twitter (D_T) | F1: 46.50 -> 47.66 | Helped |
| Add sentiment consistency (SC) while omitting OE (ablation) | Base model + BG · Laptop (D_L) | F1: 54.31 -> 55.81 | Helped |
| Add sentiment consistency (SC) while omitting OE (ablation) | Base model + BG · Restaurant (D_R) | F1: 66.96 -> 66.68 | Hurt |
| Add opinion-enhanced target-word detection (OE) while omitting SC (ablation) | Base model + BG · Laptop (D_L) | F1: 54.31 -> 55.62 | Helped |
| Add opinion-enhanced target-word detection (OE) while omitting SC (ablation) | Base model + BG · Restaurant (D_R) | F1: 66.96 -> 65.22 | Hurt |
| Add both SC and OE to the boundary-guided model (ablation) | Base model + BG · Laptop (D_L) | F1: 54.31 -> 57.90 | Helped |
| Add both SC and OE to the boundary-guided model (ablation) | Base model + BG · Restaurant (D_R) | F1: 66.96 -> 69.80 | Helped |
Closest papers by meaning
- Gated Neural Networks for Targeted Sentiment Analysis (AAAI 2016 · similarity 0.89)
- Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction (AAAI 2017 · similarity 0.88)
- Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis (AAAI 2020 · similarity 0.86)
- Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction (AAAI 2020 · similarity 0.86)
- STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction (AAAI 2023 · similarity 0.84)
- Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations (AAAI 2024 · similarity 0.81)
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