Papers by Shuyu Tian
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction (2022.naacl-main)
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| Challenge: | Existing document-level relation extraction methods do not distinguish between mention-level features and entity-level feature . document-based methods are more challenging because of multiple mentions of entities. |
| Approach: | They propose a method which selectively attentions different entity mentions with respect to candidate relations and performs relation-specific representations of entities. |
| Outcome: | The proposed method improves relation-specific representations of entities on two benchmark datasets. |
Causality-aware Concept Extraction based on Knowledge-guided Prompting (2023.acl-long)
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| Challenge: | Concepts in knowledge graphs (KGs) are far from complete in existing knowledge graph models. |
| Approach: | They propose to equip a PLM-based extractor with a knowledge-guided prompt to alleviate concept bias by removing spurious co-occurrence correlations from existing knowledge. |
| Outcome: | The proposed prompt can alleviate concept bias and improve the performance of existing models. |