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PRICAI 2021: Trends in Artificial Intelligence

18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part II

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Duc Nghia Pham

    1. MIMOS Berhad, Kuala Lumpur, Malaysia

  2. Thanaruk Theeramunkong

    1. Sirindhorn International Institute of Science and Technology, Thammasat University, Mueang Pathum Thani, Thailand

  3. Guido Governatori

    1. Data61, CSIRO, Brisbane, Australia

  4. Fenrong Liu

    1. Department of Philosophy, Tsinghua University, Beijing, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13032)

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

Included in the following conference series:

Conference proceedings info: PRICAI 2021.

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About this book

This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes  the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021.The 93 full papers and 28 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc. Part II includes two thematic blocks: Natural Language Processing, followed by Neural Networks and Deep Learning.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Natural Language Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Calibration Method for Sentiment Time Series by Deep Clustering

      • Jingyi Wu, Baopu Qiu, Lin Shang
      Pages 3-16

    3. A Weak Supervision Approach with Adversarial Training for Named Entity Recognition

      • Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu
      Pages 17-30

    4. An Attention-Based Approach to Accelerating Sequence Generative Adversarial Nets

      • Minglei Gao, Sai Zhang, Xiaowang Zhang, Zhiyong Feng
      Pages 31-45

    5. Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation

      • Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng
      Pages 46-57

    6. Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing

      • Defeng Xie, Jianmin Ji, Jiafei Xu, Ran Ji
      Pages 58-72

    7. Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction

      • Wenqiang Xu, Shiqun Yin, Junfeng Zhao, Ting Pu
      Pages 73-85

    8. Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets

      • Jan Christian Blaise Cruz, Jose Kristian Resabal, James Lin, Dan John Velasco, Charibeth Cheng
      Pages 86-99

    9. Fake News Detection Using Multiple-View Text Representation

      • Tuan Ha, Xiaoying Gao
      Pages 100-112

    10. Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition

      • Congcong Jiang, Tieyun Qian, Zhuang Chen, Kejian Tang, Shaohui Zhan, Tao Zhan
      Pages 113-126

    11. Graph Convolutional Network Exploring Label Relations for Multi-label Text Classification

      • Ting Pu, Shiqun Yin, Wenwen Li, Wenqiang Xu
      Pages 127-139

    12. Improving Long Content Question Generation with Multi-level Passage Encoding

      • Peide Zhu
      Pages 140-152

    13. Learning Vietnamese-English Code-Switching Speech Synthesis Model Under Limited Code-Switched Data Scenario

      • Cuong Manh Nguyen, Lam Viet Phung, Cuc Thi Bui, Trang Van Truong, Huy Tien Nguyen
      Pages 153-163

    14. Multi-task Text Normalization Approach for Speech Synthesis

      • Cuc Thi Bui, Trang Van Truong, Cuong Manh Nguyen, Lam Viet Phung, Manh Tien Nguyen, Huy Tien Nguyen
      Pages 164-176

    15. Performance-Driven Reinforcement Learning Approach for Abstractive Text Summarization

      • Trang-Phuong N. Nguyen, Nam-Chi Van, Nhi-Thao Tran
      Pages 177-190

    16. Punctuation Prediction in Vietnamese ASRs Using Transformer-Based Models

      • Viet The Bui, Oanh Thi Tran
      Pages 191-204

    17. Rumor Detection on Microblogs Using Dual-Grained Feature via Graph Neural Networks

      • Shouzhi Xu, Xiaodi Liu, Kai Ma, Fangmin Dong, Shunzhi Xiang, Changsong Bing
      Pages 205-216

    18. Short Text Clustering Using Joint Optimization of Feature Representations and Cluster Assignments

      • Liping Sun, Tingli Du, Xiaoyu Duan, Yonglong Luo
      Pages 217-231

    19. Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition

      • Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao
      Pages 232-243
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Other volumes

  1. PRICAI 2021: Trends in Artificial Intelligence

  2. PRICAI 2021: Trends in Artificial Intelligence

  3. PRICAI 2021: Trends in Artificial Intelligence

Editors and Affiliations

  • MIMOS Berhad, Kuala Lumpur, Malaysia

    Duc Nghia Pham

  • Sirindhorn International Institute of Science and Technology, Thammasat University, Mueang Pathum Thani, Thailand

    Thanaruk Theeramunkong

  • Data61, CSIRO, Brisbane, Australia

    Guido Governatori

  • Department of Philosophy, Tsinghua University, Beijing, China

    Fenrong Liu

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