Papers with PKG

3 papers
A Multi-Modal Knowledge Graph for Classical Chinese Poetry (2022.findings-emnlp)

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Challenge: Existing studies in classical Chinese poetry area focus on generation and analysis of poetry.
Approach: They propose to integrate the visual information of words in classical Chinese poetry into a multi-modal knowledge graph.
Outcome: The proposed model bridges the semantic gap between two modalities and achieves state-of-the-art performance on the poetry-image retrieval task.
AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Construction (2026.findings-acl)

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Challenge: Product attribute extraction in e-commerce is bottlenecked by ontologies that are inconsistent, incomplete, and costly to maintain.
Approach: They propose a multi-agent Large Language Model framework that constructs a Product-attribute Knowledge Graph from multimodal product content.
Outcome: The proposed framework achieves 0.953 WKE for product types, 0.724 WKEs for attribute keys, and 0.531 edge-level accuracy for value assertions after canonicalization on a large real-world marketplace catalog dataset from Lazada (Alibaba).
MedCPI: A Construct–Personalize–Integrate Framework for KG-enhanced Clinical Prediction (2026.findings-acl)

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Challenge: Existing KG-enhanced approaches to clinical prediction are limited . existing approaches to personalize and integrate knowledge are weakly controlled .
Approach: They propose a framework to integrate medical knowledge graphs into EHRs to support KG-enhanced clinical prediction.
Outcome: The proposed framework improves on MIMIC-III and MIMIC IV tasks.

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