Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers /

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 pa...

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Corporate Author: SpringerLink (Online service)
Other Authors: Zhao, Jun. (Editor, http://id.loc.gov/vocabulary/relators/edt), Harmelen, Frank van. (Editor, http://id.loc.gov/vocabulary/relators/edt), Tang, Jie. (Editor, http://id.loc.gov/vocabulary/relators/edt), Han, Xianpei. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Quan. (Editor, http://id.loc.gov/vocabulary/relators/edt), Li, Xianyong. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Communications in Computer and Information Science, 957
Subjects:
Online Access:https://doi.org/10.1007/978-981-13-3146-6
Table of Contents:
  • 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.