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CASIA OpenIR
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A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews 会议论文
, Padua, Italy, 2022-07
作者:  Haoda Qian;  Zaichuan Tang;  Yajun Ren;  Qiudan Li;  Daniel Zeng
Adobe PDF(881Kb)  |  收藏  |  浏览/下载：342/125  |  提交时间：2022/06/14
Analyzing Topics of JUUL Discussions on Social Media Using a Semantics-assisted NMF model 会议论文
, Shenzhen, China, 2019-7-1
作者:  Hejing Liu;  Qiudan Li;  Riheng Yao;  Daniel Dajun Zeng
Adobe PDF(248Kb)  |  收藏  |  浏览/下载：182/76  |  提交时间：2021/05/27
Multimodal Data Enhanced Representation Learning for Knowledge Graphs 会议论文
, Budapest, Hungary, 2019.7.14-19
作者:  Wang, Zikang;  Li, Linjing;  Li, Qiudan;  Zeng, Dajun
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：238/98  |  提交时间：2020/10/22
representation learning, knowledge graph, mul- timodal  
A Prior Knowledge Based Neural Attention Model for Opioid Topic Identification 会议论文
, Shenzhen, China, 1-3 July 2019
作者:  Yao, Riheng;  Li, Qiudan;  Wei-Hsuan Lo-Ciganic;  Zeng, Daniel Dajun
浏览  |  Adobe PDF(124Kb)  |  收藏  |  浏览/下载：299/117  |  提交时间：2020/06/08
prior knowledge  attention  opioid  topic  
Labelling Topics in Weibo Using Word Embedding and Graph-based Method 会议论文
, USA, 20-22 April 2016
作者:  Zhipeng Jin;  Qiudan Li;  Can Wang;  Daniel D. Zeng;  Lei Wang
浏览  |  Adobe PDF(191Kb)  |  收藏  |  浏览/下载：395/108  |  提交时间：2018/01/05
Weibo  Microblogs  Deep Learning  Labelling Topics  Graph  
Incorporating message embedding into co-factor matrix factorization for retweeting prediction 会议论文
, Anchorage, AK, USA, 2017 May 14-19
作者:  Can Wang;  Qiudan Li;  Lei Wang;  Daniel Dajun Zeng
Adobe PDF(315Kb)  |  收藏  |  浏览/下载：414/166  |  提交时间：2017/09/19
Retweeting Prediction  Co-factor Matrix Factorization  Word2vec  Low-dimensional Representation  
Predicting User’s Multi-Interests With Network Embedding in Health-Related Topics 会议论文
IJCNN2016, Vancouver, Canada, 24-29 July 2016
作者:  Zhipeng Jin;  Ruoran Liu;  Qiudan Li;  Daniel D. Zeng;  YongCheng Zhan;  Lei Wang
Adobe PDF(288Kb)  |  收藏  |  浏览/下载：790/371  |  提交时间：2016/10/23
User Interaction Network  Multi-interest Prediction  Weight Information