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Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use element-wise multiplication plus concatenation interaction instead of concatenation (ablation) | CEA · ME-ABSA Baby Care test | accuracy: 76.72 -> 80.74 | Helped |
| add position attention layer (ablation) | CEA · ME-ABSA Baby Care test | accuracy: 80.34 -> 80.74 | Helped |
| use simple summation instead of weighted summation for memory update (ablation) | CEA · ME-ABSA Baby Care test | accuracy: 79.41 -> 80.74 | Helped |
| hop count 1 to 3 (ablation) | CEA · ME-ABSA Baby Care test | accuracy: 79.08 -> 80.74 | Helped |
| increase hops from 3 to 5 (ablation) | CEA · ME-ABSA Baby Care test | accuracy: 80.74 -> 78.44 | Hurt |
| fine-tune word vectors (ablation) | CEA · ME-ABSA Baby Care test | accuracy: 80.74 -> 79.85 | Hurt |
| update context memory and entity/aspect memory jointly (CEA) vs only context memory | CEA vs ATAE-LSTM++ · ME-ABSA Baby Care test | accuracy: 71.55 -> 80.74 | Helped |
| update both memories vs only entity/aspect memory | CEA vs DMN++ · ME-ABSA Baby Care test | accuracy: 68.15 -> 80.74 | Helped |
| CEA vs DMN on ABSA benchmarks | CEA · SemEval14 restaurant/laptop | accuracy: 80.32 -> 80.98 (restaurant term) | Helped |
| CEA vs baselines on hard post types | CEA · BC post type E+A1S+ | accuracy: 58.55 -> 76.32 | Helped |
| evaluate on new (entity,aspect) combinations | CEA · BC new combinations | accuracy | No clear effect |
Closest papers by meaning
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- Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios (AAAI 2025 · similarity 0.85)
- Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis (AAAI 2024 · similarity 0.85)
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