This book constitutes the refereed proceedings of the 8th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence, CCKS 2023, held in Shenyang, China, during August 2427, 2023.
The 28 full papers included in this book were carefully reviewed and selected from 106 submissions. They were organized in topical sections as follows: knowledge representation and knowledge graph reasoning; knowledge acquisition and knowledge base construction; knowledge integration and knowledge graph management; natural language understanding and semantic computing; knowledge graph applications; knowledge graph open resources; and evaluations.
Knowledge Representation and Knowledge Graph Reasoning.- Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning.- CausE: Towards Causal Knowledge Graph Embedding.- Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2.- Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information.-
Knowledge Acquisition and Knowledge Base Construction.- Harvesting Event Schemas from Large Language Models.- NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction.- Event-Centric Opinion Mining via In-Context Learning with ChatGPT.- Relation repository based adaptive clustering for Open Relation Extraction.-
Knowledge Integration and Knowledge Graph Management.- LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering.-
Natural Language Understanding and Semantic Computing.- Multi-Perspective Frame Element Representation for Machine Reading Comprehension.- A Generall32