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Produktbild: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence
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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers

Aus der Reihe Communications in Computer and Information Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.10.2023

Herausgeber

Haofen Wang + weitere

Verlag

Springer Singapore

Seitenzahl

364

Maße (L/B/H)

23,5/15,5/2,1 cm

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-981-9972-23-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.10.2023

Herausgeber

Verlag

Springer Singapore

Seitenzahl

364

Maße (L/B/H)

23,5/15,5/2,1 cm

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-981-9972-23-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence
  • 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 Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation.- Conversational Search based on Utterance-Mask-Passage Post-training.-  Knowledge Graph Applications .- Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models.- GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization.- Feature Enhanced Structured Reasoning for Question Answering.-  Knowledge Graph Open Resources .- Conditional Knowledge Graph: Design, Dataset and a Preliminary Model.- ODKG: An Official Document Knowledge Graph for the Effective Management.- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset.- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset.- MoralEssential Elements: MEE - A Dataset for Moral Judgement.-  Evaluations .- Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views.- Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning.- A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction.- LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base.- Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts.- In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models.- A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement.- Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models.