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ORCIDAI Open, Volume 2
Volume 2, January 2021
- Kaisheng Zeng, Chengjiang Li, Lei Hou
, Juanzi Li, Ling Feng:
A comprehensive survey of entity alignment for knowledge graphs. 1-13 - Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding:
Neural, symbolic and neural-symbolic reasoning on knowledge graphs. 14-35 - Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Qun Liu, Maosong Sun:
Know what you don't need: Single-Shot Meta-Pruning for attention heads. 36-42 - Xueyi Liu, Jie Tang:
Network representation learning: A macro and micro view. 43-64 - Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang:
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. 65-68 - Jiarong Xu, Junru Chen, Siqi You, Zhiqing Xiao, Yang Yang, Jiangang Lu:
Robustness of deep learning models on graphs: A survey. 69-78 - Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, Maosong Sun:
Lawformer: A pre-trained language model for Chinese legal long documents. 79-84 - Apurwa Yadav, Aarshil Patel, Manan Shah:
A comprehensive review on resolving ambiguities in natural language processing. 85-92 - Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A large-scale generative Chinese Pre-trained language model. 93-99 - Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and challenges in conversational recommender systems: A survey. 100-126 - Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. 127-134 - Tiancui Zhang, Xiaoliang Chen, Yajun Du, Xianyong Li:
The information propagation model of Weibo network based on spiking neural P systems. 135-142 - Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens:
Discrete and continuous representations and processing in deep learning: Looking forward. 143-159 - Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-enhanced meta-learning for few-shot graph classification. 160-167 - Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. 168-174 - Bingshan Zhu, Yang Yu, Mingying Zhang, Haopeng Ren, Canguang Li, Wenjian Hao, Lixi Wang, Yi Cai:
Incorporating bidirectional interactive information and regional features for relational facts extraction. 175-185 - Guangyao Li, Zequn Sun, Lei Qian, Qiang Guo, Wei Hu:
Rule-based data augmentation for knowledge graph embedding. 186-196 - Gang Chen, Maosong Sun, Yang Liu:
Towards a universal continuous knowledge base. 197-204 - Chen Zhang, Yuxuan Lai, Yansong Feng, Dongyan Zhao:
A review of deep learning in question answering over knowledge bases. 205-215 - Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun:
CPM-2: Large-scale cost-effective pre-trained language models. 216-224 - Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. 225-250
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