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17th PRICAI 2021: Hanoi, Vietnam - Part II
- Duc Nghia Pham, Thanaruk Theeramunkong, Guido Governatori, Fenrong Liu:
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. Lecture Notes in Computer Science 13032, Springer 2021, ISBN 978-3-030-89362-0
Natural Language Processing
- Jingyi Wu, Baopu Qiu, Lin Shang:
A Calibration Method for Sentiment Time Series by Deep Clustering. 3-16 - Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu:
A Weak Supervision Approach with Adversarial Training for Named Entity Recognition. 17-30 - Minglei Gao, Sai Zhang, Xiaowang Zhang, Zhiyong Feng:
An Attention-Based Approach to Accelerating Sequence Generative Adversarial Nets. 31-45 - Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng:
Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation. 46-57 - Defeng Xie, Jianmin Ji, Jiafei Xu, Ran Ji:
Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing. 58-72 - Wenqiang Xu, Shiqun Yin, Junfeng Zhao, Ting Pu:
Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction. 73-85 - Jan Christian Blaise Cruz, Jose Kristian Resabal, James Lin, Dan John Velasco, Charibeth Cheng:
Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets. 86-99 - Tuan Ha, Xiaoying Gao:
Fake News Detection Using Multiple-View Text Representation. 100-112 - Congcong Jiang, Tieyun Qian, Zhuang Chen, Kejian Tang, Shaohui Zhan, Tao Zhan:
Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition. 113-126 - Ting Pu, Shiqun Yin, Wenwen Li, Wenqiang Xu:
Graph Convolutional Network Exploring Label Relations for Multi-label Text Classification. 127-139 - Peide Zhu:
Improving Long Content Question Generation with Multi-level Passage Encoding. 140-152 - Cuong Manh Nguyen, Viet Lam Phung, Cuc Thi Bui, Trang Van Truong, Huy Tien Nguyen:
Learning Vietnamese-English Code-Switching Speech Synthesis Model Under Limited Code-Switched Data Scenario. 153-163 - Cuc Thi Bui, Van Truong Tran, Cuong Manh Nguyen, Viet Lam Phung, Manh Tien Nguyen, Huy Tien Nguyen:
Multi-task Text Normalization Approach for Speech Synthesis. 164-176 - Trang-Phuong N. Nguyen, Nam-Chi Van, Nhi-Thao Tran:
Performance-Driven Reinforcement Learning Approach for Abstractive Text Summarization. 177-190 - Viet The Bui, Oanh Thi Tran:
Punctuation Prediction in Vietnamese ASRs Using Transformer-Based Models. 191-204 - Shouzhi Xu, Xiaodi Liu, Kai Ma, Fangmin Dong, Shunzhi Xiang, Changsong Bing:
Rumor Detection on Microblogs Using Dual-Grained Feature via Graph Neural Networks. 205-216 - Liping Sun, Tingli Du, Xiaoyu Duan, Yonglong Luo:
Short Text Clustering Using Joint Optimization of Feature Representations and Cluster Assignments. 217-231 - Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao:
Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition. 232-243 - Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin, Ngan Luu-Thuy Nguyen:
Span Labeling Approach for Vietnamese and Chinese Word Segmentation. 244-258 - Dinh-Truong Do, Ha-Thanh Nguyen, Thang Ngoc Bui, Hieu Dinh Vo:
VSEC: Transformer-Based Model for Vietnamese Spelling Correction. 259-272 - Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task. 273-286 - Peng Wang, Zhe Wang, Xiaowang Zhang, Kewen Wang, Zhi-Yong Feng:
Enhanced Named Entity Recognition with Semantic Dependency. 287-298 - Bo Xu, Zhengqi Zhang, Xiangsan Zhao, Hui Song, Ming Du:
Improving Sentence-Level Relation Classification via Machine Reading Comprehension and Reinforcement Learning. 299-310 - Lin Li, Turghun Tayir, Kaixi Hu, Dong Zhou:
Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments. 311-322 - Luis Enrico Lopez, Diane Kathryn Cruz, Jan Christian Blaise Cruz, Charibeth Cheng:
Simplifying Paragraph-Level Question Generation via Transformer Language Models. 323-334
Neural Networks and Deep Learning
- Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai:
ABAE: Utilize Attention to Boost Graph Auto-Encoder. 337-348 - Jingjie Li, Jiaquan Gao, Xiao-Xin Li:
Adversarial Examples Defense via Combining Data Transformations and RBF Layers. 349-361 - Huan Dai, Yupei Zhang, Yue Yun, Xuequn Shang:
An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery. 362-375 - Yinfeng Xia, Qing He, Wenyue Wei, Baoqun Yin:
ARNet: Accurate and Real-Time Network for Crowd Counting. 376-389 - Changwei Liu, Xiaowen Deng:
Deep Recommendation Model Based on BiLSTM and BERT. 390-402 - Jinfang Zheng, Panpan Zhao, Jinyang Xie, Chen Lyu, Lei Lyu:
GCMNet: Gated Cascade Multi-scale Network for Crowd Counting. 403-417 - Ning Dong, Einoshin Suzuki:
GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. 418-432 - Xuan Zhang, Fuqiang Lin, DiWen Dong, WangQun Chen, Bo Liu:
Heterogeneous Graph Attention Network for User Geolocation. 433-447 - Hong Lin, Xiaodong Yang, Binyan Wu, Ruyan Xiong:
Hyperbolic Tangent Polynomial Parity Cyclic Learning Rate for Deep Neural Network. 448-460 - Yongsong Huang, Zetao Jiang, Qingzhong Wang, Qi Jiang, Guoming Pang:
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN. 461-472 - Jiajing Hong, Yang Zhang, Yuesheng Zhu:
Knowledge Compensation Network with Divisible Feature Learning for Unsupervised Domain Adaptive Person Re-identification. 473-486 - Jianping Liu, Bo Wang, Ruifang He, Bin Wu, Shuo Zhang, Yuexian Hou, Qinxue Jiang:
LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation. 487-500 - Han Sun, Yetong Bian, Ningzhong Liu, Huiyu Zhou:
Multi-scale Edge-Based U-Shape Network for Salient Object Detection. 501-514 - Chunkai Zhang, Wei Zuo, Shaocong Li, Xuan Wang, Peiyi Han, Chuanyi Liu:
Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection. 515-529 - Han Sun, Lei Lin, Ningzhong Liu, Huiyu Zhou:
Robust Ensembling Network for Unsupervised Domain Adaptation. 530-543 - Yuan Li, Chuanchang Chen, Yubo Tao, Hai Lin:
SPAN: Subgraph Prediction Attention Network for Dynamic Graphs. 544-558 - Shengjie Huang, Mingjie Chen, Yanyan Xu, Dengfeng Ke, Thomas Hain:
WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization. 559-573 - Zeqi Zhang, Ying Liu, Fengli Sun:
Fusion Graph Convolutional Collaborative Filtering. 574-584 - Shiqiao Gu, Liu Yang, Yaning Li, Hui Li:
Multi-label Learning by Exploiting Imbalanced Label Correlations. 585-596 - Nianyan Hu, Ting Lu, Wenjing Guo, Qiubo Huang, Guohua Liu, Shan Chang, Jiafei Song, Yiyang Luo:
Random Sparsity Defense Against Adversarial Attack. 597-607
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