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Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding de Jun Zhao

Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding

Editat de Jun Zhao, Frank Van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
en Limba Engleză Paperback – 19 ian 2019
This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018. The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.
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Specificații

ISBN-13: 9789811331459
ISBN-10: 9811331456
Pagini: 160
Ilustrații: XVI, 143 p. 77 illus., 45 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:1st ed. 2019
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

Towards answering geography questions in Gaokao: a hybrid approach.- Distant supervision for chinese temporal tagging.- Convolutional neural network-based question answering over knowledge base with type constraint.- MMCRD: An effective algorithm for deploying monitoring point on social network.- Deep learning for knowledge-driven ontology stream prediction.- DSKG: a Deep sequential model for knowledge graph completion.- Pattern learning for Chinese open information extraction.- Adversarial training for relation classification with attention based gate mechanism.- A novel approach on entity linking for encyclopedia infoboxes.- Predicting concept-based research trends with rhetorical framing.- Knowledge augmented  inference network for natural language inference.- Survey on schema induction from knowledge graphs.