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{ "item_title" : "Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding", "item_author" : [" Jun Zhao", "Frank Van Harmelen", "Jie Tang "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/133/145/9811331456_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding|Jun Zhao

Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding : Third China Conference, Ccks 2018, Tianjin, China, August 14-1

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Overview

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.

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Details

  • ISBN-13: 9789811331459
  • ISBN-10: 9811331456
  • Publisher: Springer
  • Publish Date: January 2019
  • Dimensions: 9.21 x 6.14 x 0.34 inches
  • Shipping Weight: 0.51 pounds
  • Page Count: 143

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