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Natural Language Processing and Chinese Computing

11th CCF International Conference, NLPCC 2022, Guilin, China, September 24–25, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Wei Lu

    1. Singapore University of Technology and Design, Singapore, Singapore

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  2. Shujian Huang

    1. Nanjing University, Nanjing, China

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  3. Yu Hong

    1. Soochow University, Suzhou, China

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  4. Xiabing Zhou

    1. Soochow University, Soochow, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13551)

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

Included in the following conference series:

Conference proceedings info: NLPCC 2022.

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About this book

This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022.

The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xxxii
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  2. Fundamentals of NLP (Oral)

    1. Front Matter

      Pages 1-1
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    2. Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models

      • Wenbiao Li, Rui Sun, Yunfang Wu
      Pages 3-15

    3. PGBERT: Phonology and Glyph Enhanced Pre-training for Chinese Spelling Correction

      • Lujia Bao, XiaoShuai Chen, Junwen Ren, Yujia Liu, Chao Qi
      Pages 16-28

    4. MCER: A Multi-domain Dataset for Sentence-Level Chinese Ellipsis Resolution

      • Jialu Qi, Yanqiu Shao, Wei Li, Zizhuo Shen
      Pages 29-42

    5. Two-Layer Context-Enhanced Representation for Better Chinese Discourse Parsing

      • Qiang Zhu, Kedong Wang, Fang Kong
      Pages 43-54

    6. How Effective and Robust is Sentence-Level Data Augmentation for Named Entity Recognition?

      • Runmin Jiang, Xin Zhang, Jiyue Jiang, Wei Li, Yuhao Wang
      Pages 55-66

  3. Machine Translation and Multilinguality (Oral)

    1. Front Matter

      Pages 67-67
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    2. Random Concatenation: A Simple Data Augmentation Method for Neural Machine Translation

      • Nini Xiao, Huaao Zhang, Chang Jin, Xiangyu Duan
      Pages 69-80

    3. Contrastive Learning for Robust Neural Machine Translation with ASR Errors

      • Dongyang Hu, Junhui Li
      Pages 81-91

    4. An Enhanced New Word Identification Approach Using Bilingual Alignment

      • Ziyan Yang, Huaping Zhang, Jianyun Shang, Silamu Wushour
      Pages 92-104

  4. Machine Learning for NLP (Oral)

    1. Front Matter

      Pages 105-105
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    2. Multi-task Learning with Auxiliary Cross-attention Transformer for Low-Resource Multi-dialect Speech Recognition

      • Zhengjia Dan, Yue Zhao, Xiaojun Bi, Licheng Wu, Qiang Ji
      Pages 107-118

    3. Regularized Contrastive Learning of Semantic Search

      • Mingxi Tan, Alexis Rolland, Andong Tian
      Pages 119-130

    4. Kformer: Knowledge Injection in Transformer Feed-Forward Layers

      • Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, Ningyu Zhang
      Pages 131-143

    5. Doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Tickets

      • Yi Yang, Chen Zhang, Benyou Wang, Dawei Song
      Pages 144-156

  5. Information Extraction and Knowledge Graph (Oral)

    1. Front Matter

      Pages 157-157
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    2. BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information

      • Hang Yan, Yu Sun, Junqi Dai, Xiangkun Hu, Qipeng Guo, Xipeng Qiu et al.
      Pages 159-171

    3. DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction

      • Cuiyun Han, Jinchuan Zhang, Xinyu Li, Guojin Xu, Weihua Peng, Zengfeng Zeng
      Pages 172-183

    4. Temporal Relation Extraction on Time Anchoring and Negative Denoising

      • Liang Wang, Peifeng Li, Qiaoming Zhu
      Pages 184-196
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Other volumes

  1. Natural Language Processing and Chinese Computing

  2. Natural Language Processing and Chinese Computing

Editors and Affiliations

  • Singapore University of Technology and Design, Singapore, Singapore

    Wei Lu

  • Nanjing University, Nanjing, China

    Shujian Huang

  • Soochow University, Suzhou, China

    Yu Hong

  • Soochow University, Soochow, China

    Xiabing Zhou

Bibliographic Information

  • Book Title: Natural Language Processing and Chinese Computing

  • Book Subtitle: 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24–25, 2022, Proceedings, Part I

  • Editors: Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-17120-8

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-17119-2Published: 24 September 2022

  • eBook ISBN: 978-3-031-17120-8Published: 23 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXII, 867

  • Number of Illustrations: 66 b/w illustrations, 209 illustrations in colour

  • Topics: Artificial Intelligence

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