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CCKS 2022 - Evaluation Track

7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24–27, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ningyu Zhang

    1. Zhejiang University, Hangzhou, China

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  2. Meng Wang

    1. Southeast University, Nanjing, China

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  3. Tianxing Wu

    1. Southeast University, Nanjing, China

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  4. Wei Hu

    1. Nanjing University, Nanjing, China

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  5. Shumin Deng

    1. National University of Singapore, Singapore, Singapore

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1711)

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Conference proceedings info: CCKS 2022.

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About this book

This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, which took place in Qinhuangdao, China, in August 2022. 


The 25 full papers presented in this volume were carefully reviewed and selected from 42 submissions. CCKS technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.


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Table of contents (25 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. A Chemical Domain Knowledge-Aware Framework for Multi-view Molecular Property Prediction

    • Rui Hua, Xinyan Wang, Chuang Cheng, Qiang Zhu, Xuezhong Zhou
    Pages 1-11

  3. A Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions

    • Ben Teng, Xuepeng Wang, Xiaodan lv, Xinxin Zhang, Bo An
    Pages 12-20

  4. A Pipeline-Based Multimodal Military Event Argument Extraction Framework

    • Xin Xu, Jian Xu, Guoqing Ruan, Hongyi Bao, Jiadong Sun
    Pages 21-29

  5. A Search-Enhanced Path Mining and Ranking Method for Cross-lingual Knowledge Base Question Answering

    • Zhanglin Wu, Ming Zhu, Min Zhang, Song Peng, Weidong Zhang, Ting Zhu et al.
    Pages 30-38

  6. A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs

    • Jiangzhou Ji, Yaohan He, Jinlong Li
    Pages 39-46

  7. Cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers

    • Junhao Zhu, Min Zhang, Song Peng, Hao Yang, Ying Qin, Weidong Zhang et al.
    Pages 47-56

  8. Compound Property Prediction Based on Multiple Different Molecular Features and Ensemble Learning

    • Wenming Yang, Jiali Zou, Le Yin
    Pages 57-69

  9. Diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention

    • Ke Zhang, Xiao Li, Gong Cheng
    Pages 70-77

  10. Element Information Enhancement for Diagram Question Answering with Synthetic Data

    • Yadong Zhang, Yang Chen, Yupei Ren, Man Lan, Yuefeng Chen
    Pages 78-86

  11. Financial Event Extraction of NEC Dataset Based on Pointer Network

    • Keyu Pu, Hongyi Liu, Yixiao Yang, Yaohan He, Jinlong Li
    Pages 87-97

  12. High Quality Article Recognition Based on Ernie and Knowledge Mapping

    • Huihai Liu, Pingfei Cui, Lin Han
    Pages 98-106

  13. High-Quality Article Classification Based on Named Entities of Knowledge Graph and Multi-head Attention

    • Zhancheng Liang, Zhenkun He, Peipei Jia
    Pages 107-119

  14. Implementation and Optimization of Graph Computing Algorithms Based on Graph Database

    • Jiaqi Wei, Shuang Wu, Jinkang Jia, Ziqian Liu
    Pages 120-126

  15. Knowledge Graph Construction for Foreign Military Unmanned Systems

    • Yilin Chen, Jingting Wang, Shutong Zhu, Yuang Gu, Haoyu Dai, Jingyi Xu et al.
    Pages 127-137

  16. Knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles

    • Yanmao Zhou, Yunni Xia, Yongbo Wang
    Pages 138-147

  17. Learning Seq2Seq Model with Dynamic Schema Linking for NL2SQL

    • Xingxing Ning, Yupeng Zhao, Jie liu
    Pages 148-153

  18. Learning to Answer Complex Visual Questions from Multi-View Analysis

    • Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
    Pages 154-162

  19. A Prompt-Based UIE Framework

    • Fubang Zhao, Yexiang Wang, YangYang Kang
    Pages 163-171

  20. Multi-modal Representation Learning with Self-adaptive Threshold for Commodity Verification

    • Chenchen Han, Heng Jia
    Pages 172-179
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Other volumes

  1. Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy

  2. CCKS 2022 - Evaluation Track

Editors and Affiliations

  • Zhejiang University, Hangzhou, China

    Ningyu Zhang

  • Southeast University, Nanjing, China

    Meng Wang, Tianxing Wu

  • Nanjing University, Nanjing, China

    Wei Hu

  • National University of Singapore, Singapore, Singapore

    Shumin Deng

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