Research map / Graph learning / Knowledge and temporal graphs
End-to-End Argumentation Knowledge Graph Construction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| remove lexical features from the full feature set (ablation) | SVM relation detection · Argumentation corpus test | macro F1: -0.09 when removed | Helped |
| add lexical features (ablation) | SVM relation type classification · Argumentation corpus test | macro F1: -0.12 when removed | Helped |
| add lexical features (ablation) | SVM consequence classification · Argumentation corpus test | macro F1: -0.07 when removed | Helped |
| add syntax features (ablation) | SVM relation detection · Argumentation corpus test | macro F1: 0.00 | No clear effect |
| add sentiment features (ablation) | SVM relation detection · Argumentation corpus test | macro F1: 0.00 | No clear effect |
| add semantic lexicon features (ablation) | SVM relation type classification · Argumentation corpus test | macro F1: -0.03 when removed (i.e. +0.03 after removal) | Hurt |
| use SVM with all features instead of majority-class baseline | relation detection · Argumentation corpus test | macro F1: 0.40 -> 0.79 | Helped |
Closest papers by meaning
- Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models (AAAI 2025 · similarity 0.87)
- Argument Graph Uncertainty: Quantifying Uncertainty from the Logical Structure of Reasoning Chains (NeurIPS 2026 · similarity 0.85)
- EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering (AAAI 2025 · similarity 0.85)
- OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset (NeurIPS 2024 · similarity 0.84)
- KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering (NeurIPS 2026 · similarity 0.83)
- Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables (AAAI 2024 · similarity 0.83)
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