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Chinese Computational Linguistics

22nd China National Conference, CCL 2023, Harbin, China, August 3–5, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Maosong Sun

    1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

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  2. Bing Qin

    1. Harbin Institute of Technology, Harbin, China

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  3. Xipeng Qiu

    1. Fudan University, Shanghai, China

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  4. Jiang Jing

    1. School of Computing and Information, Singapore Management University, Singapore, Singapore

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  5. Xianpei Han

    1. Institute of Software, Chinese Academy of Sciences, Beijing, China

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  6. Gaoqi Rao

    1. Beijing Language and Culture University, Beijing, China

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  7. Yubo Chen

    1. Chinese Academy of Sciences, Institute of Automation, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14232)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: CCL 2023.

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Table of contents (28 papers)

  1. Front Matter

    Pages I-XXII
    Download chapter PDF

  2. Fundamental Theory and Methods of Computational Linguistics

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. The Contextualized Representation of Collocation

      • Daohuan Liu, Xuri Tang
      Pages 3-16

  3. Information Retrieval, Dialogue and Question Answering

    1. Front Matter

      Pages 17-17
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    2. Ask to Understand: Question Generation for Multi-hop Question Answering

      • Jiawei Li, Mucheng Ren, Yang Gao, Yizhe Yang
      Pages 19-36

    3. Learning on Structured Documents for Conditional Question Answering

      • Zihan Wang, Hongjin Qian, Zhicheng Dou
      Pages 37-57

    4. Overcoming Language Priors with Counterfactual Inference for Visual Question Answering

      • Zhibo Ren, Huizhen Wang, Muhua Zhu, Yichao Wang, Tong Xiao, Jingbo Zhu
      Pages 58-71

    5. Rethinking Label Smoothing on Multi-Hop Question Answering

      • Zhangyue Yin, Yuxin Wang, Xiannian Hu, Yiguang Wu, Hang Yan, Xinyu Zhang et al.
      Pages 72-87

  4. Text Generation, Dialogue and Summarization

    1. Front Matter

      Pages 89-89
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    2. Unsupervised Style Transfer in News Headlines via Discrete Style Space

      • Qianhui Liu, Yang Gao, Yizhe Yang
      Pages 91-105

    3. Lexical Complexity Controlled Sentence Generation for Language Learning

      • Jinran Nie, Liner Yang, Yun Chen, Cunliang Kong, Junhui Zhu, Erhong Yang
      Pages 106-126

    4. Improving Zero-Shot Cross-Lingual Dialogue State Tracking via Contrastive Learning

      • Yu Xiang, Ting Zhang, Hui Di, Hui Huang, Chunyou Li, Kazushige Ouchi et al.
      Pages 127-141

  5. Knowledge Graph and Information Extraction

    1. Front Matter

      Pages 143-143
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    2. Document Information Extraction via Global Tagging

      • Shaojie He, Tianshu Wang, Yaojie Lu, Hongyu Lin, Xianpei Han, Yingfei Sun et al.
      Pages 145-158

    3. A Distantly-Supervised Relation Extraction Method Based on Selective Gate and Noise Correction

      • Zhuowei Chen, Yujia Tian, Lianxi Wang, Shengyi Jiang
      Pages 159-174

    4. Improving Cascade Decoding with Syntax-Aware Aggregator and Contrastive Learning for Event Extraction

      • Zeyu Sheng, Yuanyuan Liang, Yunshi Lan
      Pages 175-191

    5. TERL: Transformer Enhanced Reinforcement Learning for Relation Extraction

      • Yashen Wang, Tuo Shi, Xiaoye Ouyang, Dayu Guo
      Pages 192-206

    6. P-MNER: Cross Modal Correction Fusion Network with Prompt Learning for Multimodal Named Entity Recognition

      • Zhuang Wang, Yijia Zhang, Kang An, Xiaoying Zhou, Mingyu Lu, Hongfei Lin
      Pages 207-221

    7. Self Question-Answering: Aspect Sentiment Triplet Extraction via a Multi-MRC Framework Based on Rethink Mechanism

      • Fuyao Zhang, Yijia Zhang, Mengyi Wang, Hong Yang, Mingyu Lu, Liang Yang
      Pages 222-236

    8. Enhancing Ontology Knowledge for Domain-Specific Joint Entity and Relation Extraction

      • Xiong Xiong, Chen Wang, Yunfei Liu, Shengyang Li
      Pages 237-252
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  1. Chinese Computational Linguistics

Keywords

About this book

This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3–5, 2023.

 

The 82 full papers included in this book were carefully reviewed and selected from 278 submissions. They were organized in topical sections as follows: ​Fundamental Theory and Methods of Computational Linguistics, Information Retrieval, Dialogue and Question Answering, Text Generation, Dialogue and Summarization, Knowledge Graph and Information Extraction, Machine Translation and Multilingual Information Processing, Language Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications.

 

Editors and Affiliations

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Maosong Sun

  • Harbin Institute of Technology, Harbin, China

    Bing Qin

  • Fudan University, Shanghai, China

    Xipeng Qiu

  • School of Computing and Information, Singapore Management University, Singapore, Singapore

    Jiang Jing

  • Institute of Software, Chinese Academy of Sciences, Beijing, China

    Xianpei Han

  • Beijing Language and Culture University, Beijing, China

    Gaoqi Rao

  • Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Yubo Chen

Bibliographic Information

  • Book Title: Chinese Computational Linguistics

  • Book Subtitle: 22nd China National Conference, CCL 2023, Harbin, China, August 3–5, 2023, Proceedings

  • Editors: Maosong Sun, Bing Qin, Xipeng Qiu, Jiang Jing, Xianpei Han, Gaoqi Rao, Yubo Chen

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-99-6207-5

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Softcover ISBN: 978-981-99-6206-8Published: 20 September 2023

  • eBook ISBN: 978-981-99-6207-5Published: 19 September 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 466

  • Number of Illustrations: 14 b/w illustrations, 98 illustrations in colour

  • Topics: Natural Language Processing (NLP), Computer Systems Organization and Communication Networks, Computer Applications

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