Research map / Graph learning / Graph self-supervised learning
Graph Convolutional Networks With Argument-Aware Pooling for Event Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add GCN layers over dependency trees on top of BiLSTM (ablation) | BiLSTM event detector · ACE 2005 dev | F1: 70.5 -> 71.8 | Helped |
| add BiLSTM before GCNs (ablation) | GCN-ED · ACE 2005 dev | F1: 71.2 -> 71.8 | Helped |
| increase GCN layers from 2 to 3 (ablation) | BiLSTM + GCNs · ACE 2005 dev | F1: 71.8 -> 67.1 | Hurt |
| entity mention-based pooling instead of anchor pooling (ablation) | GCN-ED · ACE 2005 test | F1: 71.4 -> 73.1 | Helped |
| entity mention-based pooling instead of overall/dynamic pooling (ablation) | GCN-ED · ACE 2005 test | F1: 70.8 -> 73.1 | Helped |
| entity mention-based pooling with predicted entity mentions (ablation) | GCN-ED · TAC KBP 2015 test | F1: 57.9 -> 58.8 | Helped |
| GCN-ED vs single-model SOTA ATT+ | event detection · ACE 2005 test | F1: 71.9 -> 73.1 | Helped |
Closest papers by meaning
- Dependency Structure-Enhanced Graph Attention Networks for Event Detection (AAAI 2024 · similarity 0.91)
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- Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction (AAAI 2018 · similarity 0.87)
- GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction (AAAI 2021 · similarity 0.85)
- Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection (AAAI 2024 · similarity 0.84)
- A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning (AAAI 2024 · similarity 0.83)
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