Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy

Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy

7th China Conference, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers

Feng, Yansong; Liu, Yongbin; Xu, Bin; Ren, Jiadong; Chen, Yubo; Liu, Kang; Sun, Maosong; Qi, Guilin

Springer Verlag, Singapore

11/2022

218

Mole

Inglês

9789811975950

15 a 20 dias

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?Knowledge Representation and Reasoning.- Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits.- Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding.- Knowledge Acquisition and Knowledge Base Construction.- TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts.- Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning.- KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction.- Hierarchical Modular Event Detection Based on Dependency Graph.- Linked Data, Knowledge Integration, and KnowledgeGraph Storage Management.- Explicit Sparse Attention Network for Multimodal Named EntityRecognition.- Optimization of Bit Matrix Index for Temporal RDF.- Natural Language Understanding and Semantic Computing.- CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning.- A survey on Causal Discovery.- EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis.- Incorporating Multilingual Knowledge Distillation into MachineTranslation Evaluation.- Regularizing Deep Text Models By Encouraging Competition.- A Survey on Table Question Answering: Recent Advances.- Knowledge Graph Applications.- Knowledge-aware Topological Networks for Recommendation.- Knowledge Graph Open Resources.- IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research.- ELETerm: A Chinese Electric Power Term Dataset.
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artificial intelligence;semantics;natural language processing;natural languages;information retrieval;computational linguistics;graph theory;data mining;ontologies