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DisenE: Disentangling Knowledge Graph Embeddings

Nov 12, 2020
Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang

* There are some mistakes in the paper 

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Disentangle-based Continual Graph Representation Learning

Oct 06, 2020
Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang


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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Oct 05, 2020
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

* Accepted by EMNLP 2020 

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Oct 01, 2020
Yusheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun


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Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation

Jun 09, 2020
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* This work has been accepted for publication at ACL2020 

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MAVEN: A Massive General Domain Event Detection Dataset

Apr 28, 2020
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

* 9 pages, 2 figures; Work in progress 

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Coreferential Reasoning Learning for Language Representation

Apr 15, 2020
Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu


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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction

Apr 07, 2020
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou


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Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks

Nov 10, 2019
Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun

* 8 pages 

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Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information

Nov 06, 2019
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* 12 pages, 5 figures 

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Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network

Nov 06, 2019
Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun


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NumNet: Machine Reading Comprehension with Numerical Reasoning

Oct 15, 2019
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu

* Accepted to EMNLP2019; 11 pages, 2 figures, 6 tables 

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Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Sep 07, 2019
Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun

* 8 pages, 7 Figures and 5 Tables 

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DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Jun 17, 2019
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun

* Accepted by ACL 2019 

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Fact Discovery from Knowledge Base via Facet Decomposition

Apr 21, 2019
Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam

* NAACL 2019 

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Graph Neural Networks with Generated Parameters for Relation Extraction

Feb 02, 2019
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-seng Chua, Maosong Sun


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Knowledge Representation Learning: A Quantitative Review

Dec 28, 2018
Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun

* 58 pages 

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Incorporating Relation Paths in Neural Relation Extraction

Sep 13, 2017
Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun

* Proceedings of EMNLP 2017. Code and dataset available 

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Modeling Relation Paths for Representation Learning of Knowledge Bases

Aug 15, 2015
Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, Song Liu

* 10 pages 

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