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Natural Language Processing and Chinese Computing

12th National CCF Conference, NLPCC 2023, Foshan, China, October 12–15, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Fei Liu

    1. Emory University, Atlanta, USA

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  2. Nan Duan

    1. Microsoft Research Asia, Beijing, China

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  3. Qingting Xu

    1. Soochow University, Suzhou, China

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  4. Yu Hong

    1. Soochow University, Suzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14302)

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

Included in the following conference series:

Conference proceedings info: NLPCC 2023.

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Table of contents (66 papers)

  1. Front Matter

    Pages i-xliii
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  2. Oral: Dialogue Systems

    1. Front Matter

      Pages 1-1
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    2. A Task-Oriented Dialog Model with Task-Progressive and Policy-Aware Pre-training

      • Lucen Zhong, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Jiashen Sun, Ke Zeng et al.
      Pages 3-15

    3. Retrieval-Augmented Knowledge-Intensive Dialogue

      • Zelin Wang, Ping Gong, Yibo Zhang, Jihao Gu, Xuanyuan Yang
      Pages 16-28

    4. Episode-Based Prompt Learning for Any-Shot Intent Detection

      • Pengfei Sun, Dingjie Song, Yawen Ouyang, Zhen Wu, Xinyu Dai
      Pages 29-41

    5. CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk

      • Baizhou Huang, Shikang Du, Xiaojun Wan
      Pages 42-53

  3. Oral: Fundamentals of NLP

    1. Front Matter

      Pages 55-55
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    2. Recurrent Transformers for Long Document Understanding

      • Chuzhan Hao, Peng Zhang, Minghui Xie, Dongming Zhao
      Pages 57-68

    3. SCA-CLS: A New Semantic-Context-Aware Framework for Community-Oriented Lexical Simplification

      • Rongying Li, Wenxiu Xie, John Lee, Tianyong Hao
      Pages 69-81

    4. A Cross-lingual Sentiment Embedding Model with Semantic and Sentiment Joint Learning

      • Yuemei Xu, Wanze Du, Ling Hu
      Pages 82-94

    5. Learning to Attentively Represent Distinctive Information for Semantic Text Matching

      • Junjie Wang, Rui Peng, Yu Hong
      Pages 95-107

  4. Oral: Information Extraction and Knowledge Graph

    1. Front Matter

      Pages 109-109
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    2. Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings

      • Peng Wang, Xin Xie, Xiaohan Wang, Ninyu Zhang
      Pages 111-122

    3. MACO: A Modality Adversarial and Contrastive Framework for Modality-Missing Multi-modal Knowledge Graph Completion

      • Yichi Zhang, Zhuo Chen, Wen Zhang
      Pages 123-134

    4. A Joint Entity and Relation Extraction Approach Using Dilated Convolution and Context Fusion

      • Wenjun Kong, Yamei Xia, Wenbin Yao, Tianbo Lu
      Pages 135-146

    5. Interest Aware Dual-Channel Graph Contrastive Learning for Session-Based Recommendation

      • Sichen Liu, Shumin Shi, Dongyang Liu
      Pages 147-158

    6. Chinese Event Causality Identification Based on Retrieval Enhancement

      • Yumiao Gao, Yizhi Ren, Jiawei Rao, Zuohua Chen, Qisen Xi, Haoda Wang et al.
      Pages 159-170

    7. UZNER: A Benchmark for Named Entity Recognition in Uzbek

      • Aizihaierjiang Yusufu, Liu Jiang, Abidan Ainiwaer, Chong Teng, Aizierguli Yusufu, Fei Li et al.
      Pages 171-183

    8. Evaluation Framework for Poisoning Attacks on Knowledge Graph Embeddings

      • Dong Zhu, Yao Lin, Le Wang, Yushun Xie, Jie Jiang, Zhaoquan Gu
      Pages 184-196

    9. Label-Guided Compressed Prototypical Network for Incremental Few-Shot Text Classification

      • Yongjie Wang, Minghao Hu, Xiantao Xu, Wei Luo, Zhunchen Luo
      Pages 197-208
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Other volumes

  1. Natural Language Processing and Chinese Computing

  2. Natural Language Processing and Chinese Computing

  3. Natural Language Processing and Chinese Computing

Keywords

About this book

This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023.

The 143 regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.

Editors and Affiliations

  • Emory University, Atlanta, USA

    Fei Liu

  • Microsoft Research Asia, Beijing, China

    Nan Duan

  • Soochow University, Suzhou, China

    Qingting Xu, Yu Hong

Bibliographic Information

  • Book Title: Natural Language Processing and Chinese Computing

  • Book Subtitle: 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12–15, 2023, Proceedings, Part I

  • Editors: Fei Liu, Nan Duan, Qingting Xu, Yu Hong

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-44693-1

  • 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 2023

  • Softcover ISBN: 978-3-031-44692-4Published: 08 October 2023

  • eBook ISBN: 978-3-031-44693-1Published: 07 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLIII, 875

  • Number of Illustrations: 24 b/w illustrations, 221 illustrations in colour

  • Topics: Artificial Intelligence

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