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Adaptive perturbation adversarial training: based on reinforcement learning

Aug 30, 2021
Zhishen Nie, Ying Lin, Sp Ren, Lan Zhang

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Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations

Apr 14, 2021
Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan

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COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

Jul 06, 2020
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare Voss, Cynthia Schneider, Boyan Onyshkevych

* 11 pages, submitted to ACL 2020 Workshop on Natural Language Processing for COVID-19 (NLP-COVID), for resources see 

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A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages

Apr 10, 2019
Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May

* NAACL-HLT 2019, 12 pages, code available at 

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Acquiring Background Knowledge to Improve Moral Value Prediction

Sep 16, 2017
Ying Lin, Joe Hoover, Morteza Dehghani, Marlon Mooijman, Heng Ji

* 8 pages, 4 figures 

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