Papers by Daoqi Chen

2 papers
Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention (2025.coling-main)

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Challenge: Existing methods for fact verification do not extract faithful inference chains due to the diversity of relation paths.
Approach: They propose a multi-view heterogeneous Graph with causal intervention to extract evidence graphs from the knowledge graph.
Outcome: The proposed model provides precise evidence graphs and achieves state-of-the-art performance on the public KG-based fact verification dataset FactKG.
Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules (2023.emnlp-main)

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Challenge: Document-level Relation Extraction (DocRE) aims to extract relations among entity pairs in documents.
Approach: They propose a logic constraint framework that uses bidirectional constraints to model rules by beta contribtion and reconstruct rule consistency loss by bidirectional constraint.
Outcome: The proposed framework outperforms existing models in relation extraction performance and logical consistency.

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