Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers /
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers / [electronic resource] :
edited by Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li.
- 1st ed. 2019.
- XVI, 143 p. 77 illus., 45 illus. in color. online resource.
- Communications in Computer and Information Science, 957 1865-0937 ; .
- Communications in Computer and Information Science, 957 .
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.
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.
9789811331466
10.1007/978-981-13-3146-6 doi
Artificial intelligence.
Machine theory.
Information technology--Management.
Data mining.
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer Application in Administrative Data Processing.
Data Mining and Knowledge Discovery.
Q334-342 TA347.A78
006.3
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.
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.
9789811331466
10.1007/978-981-13-3146-6 doi
Artificial intelligence.
Machine theory.
Information technology--Management.
Data mining.
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer Application in Administrative Data Processing.
Data Mining and Knowledge Discovery.
Q334-342 TA347.A78
006.3