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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Bing Qin

    1. Harbin Institute of Technology, Harbin, China

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  2. Zhi Jin

    1. Peking University, Beijing, China

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  3. Haofen Wang

    1. Tongji University, Shanghai, China

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  4. Jeff Pan

    1. University of Edinburgh, Edinburgh, UK

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  5. Yongbin Liu

    1. University of South China, Hengyang, China

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  6. Bo An

    1. Chinese Academy of Sciences, Beijing, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1466)

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Conference proceedings info: CCKS 2021.

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About this book

This book constitutes the refereed proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in  Guangzhou, China, in November 2021. 
The 19 revised full papers and 9 short papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on ​knowledge extraction: knowledge graph representation and reasoning; knowledge acquisition and knowledge graph construction; linked data, knowledge integration, and knowledge graph storage management; natural language understanding and semantic computing; knowledge graph applications: semantic search, question answering, dialogue, decision support, and recommendation; knowledge graph open resources.

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xvii
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  2. Knowledge Graph Representation and Reasoning

    1. Front Matter

      Pages 1-1
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    2. EBSD Grain Knowledge Graph Representation Learning for Material Structure-Property Prediction

      • Chao Shu, Zhuoran Xin, Cheng Xie
      Pages 3-15

    3. Federated Knowledge Graph Embeddings with Heterogeneous Data

      • Weiqiao Meng, Shizhan Chen, Zhiyong Feng
      Pages 16-26

    4. Text-Guided Legal Knowledge Graph Reasoning

      • Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou
      Pages 27-39

  3. Knowledge Acquisition and Knowledge Graph Construction

    1. Front Matter

      Pages 41-41
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    2. On Robustness and Bias Analysis of BERT-Based Relation Extraction

      • Luoqiu Li, Xiang Chen, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang et al.
      Pages 43-59

    3. KA-NER: Knowledge Augmented Named Entity Recognition

      • Binling Nie, Chenyang Li, Honglie Wang
      Pages 60-75

    4. Structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction

      • Zhi Liu, Hao Xu, Haitao Wang, Dan Zhou, Guilin Qi, Wanqi Sun et al.
      Pages 76-88

  4. Linked Data, Knowledge Integration, and Knowledge Graph Storage Management

    1. Front Matter

      Pages 89-89
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    2. Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs

      • Zhibin Chen, Yuting Wu, Yansong Feng, Dongyan Zhao
      Pages 91-103

    3. Content-Based Open Knowledge Graph Search: A Preliminary Study with OpenKG.CN

      • Xiaxia Wang, Tengteng Lin, Weiqing Luo, Gong Cheng, Yuzhong Qu
      Pages 104-115

  5. Natural Language Understanding and Semantic Computing

    1. Front Matter

      Pages 117-117
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    2. Dependency to Semantics: Structure Transformation and Syntax-Guided Attention for Neural Semantic Parsing

      • Shan Wu, Bo Chen, Xianpei Han, Le Sun
      Pages 119-133

    3. Research on Chinese-Korean Entity Alignment Method Combining TransH and GAT

      • Cheng Jin, Rongyi Cui, Yahui Zhao
      Pages 134-144

    4. Incorporating Complete Syntactical Knowledge for Spoken Language Understanding

      • Shimin Tao, Ying Qin, Yimeng Chen, Chunning Du, Haifeng Sun, Weibin Meng et al.
      Pages 145-156

    5. NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning

      • Xiusheng Huang, Yubo Chen, Kang Liu, Yuantao Xie, Weijian Sun, Jun Zhao
      Pages 157-170

    6. Knowledge Enhanced Target-Aware Stance Detection on Tweets

      • Xin Zhang, Jianhua Yuan, Yanyan Zhao, Bing Qin
      Pages 171-184

    7. Towards Nested and Fine-Grained Open Information Extraction

      • Jiawei Wang, Xin Zheng, Qiang Yang, Jianfeng Qu, Jiajie Xu, Zhigang Chen et al.
      Pages 185-197

    8. Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances

      • Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
      Pages 198-210
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Other volumes

  1. Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

  2. CCKS 2021 - Evaluation Track

Editors and Affiliations

  • Harbin Institute of Technology, Harbin, China

    Bing Qin

  • Peking University, Beijing, China

    Zhi Jin

  • Tongji University, Shanghai, China

    Haofen Wang

  • University of Edinburgh, Edinburgh, UK

    Jeff Pan

  • University of South China, Hengyang, China

    Yongbin Liu

  • Chinese Academy of Sciences, Beijing, China

    Bo An

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