PRICAI 2021: Trends in Artificial Intelligence

1. Front Matter

   Pages i-xviii

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2. Natural Language Processing

   1. Front Matter

      Pages 1-1

      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

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.

• artificial intelligence
• computational linguistics
• computer science
• computer systems
• computer vision
• databases
• education
• engineering
• image analysis
• image processing
• information retrieval
• internet
• learning
• linguistics
• machine learning
• Natural Language Processing (NLP)
• natural languages
• neural networks
• semantics
• signal processing

• 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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