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Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges 期刊论文
AI Open, 2020, 卷号: 1, 期号: 1, 页码: 22-39
作者:  Kang Liu;  Yubo Chen;  Jian Liu;  Xinyu Zuo;  Jun Zhao
Adobe PDF(1821Kb)  |  收藏  |  浏览/下载：200/43  |  提交时间：2021/06/21
Event extraction  Event relation extraction  Knowledge graph  
Knowledge-driven Egocentric Multimodal Activity Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 21
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyu;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1875Kb)  |  收藏  |  浏览/下载：375/51  |  提交时间：2021/03/08
Egocentric videos  wearable sensors  graph neural networks  
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 4, 页码: 20
作者:  Zhang, Yingying;  Fang, Quan;  Qian, Shengsheng;  Xu, Changsheng
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：326/60  |  提交时间：2021/01/06
Dialogue system  co-attention  adversarial learning  external knowledge  
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks 期刊论文
IEEE Intelligent Systems, 2020, 卷号: Early Access, 期号: Early Access, 页码: 1-1
作者:  Wanting Wen;  Daniel D. Zeng;  Jie Bai;  Kang Zhao;  Ziqiang Li
浏览  |  Adobe PDF(516Kb)  |  收藏  |  浏览/下载：199/80  |  提交时间：2020/10/21
Heterogeneous networks  Task analysis  Intelligent systems  Learning (artificial intelligence)  
Scene Restoring for Narrative Machine Reading Comprehension 会议论文
, Online, Nov 16, 2020 - Nov 20, 2020
作者:  Zhixing Tian;  Yuanzhe Zhang;  Kang Liu;  Jun Zhao;  Yantao Jia;  Zhicheng Sheng
浏览  |  Adobe PDF(881Kb)  |  收藏  |  浏览/下载：204/68  |  提交时间：2020/10/14
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：393/112  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning