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Do Language Models Perform Generalizable Commonsense Inference?


Jun 22, 2021
Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren

* 8 pages, 4 figures. Accepted to ACL'21 Findings 

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Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation


Oct 24, 2020
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

* 13 pages, 9 figures 

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When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models


Oct 10, 2020
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi

* Accepted by EMNLP2020 Main Conference 

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Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering


May 02, 2020
Peifeng Wang, Nanyun Peng, Pedro Szekely, Xiang Ren


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Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering


May 01, 2020
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren

* 13 pages, 8 figures, Project page: https://github.com/INK-USC/MHGRN 

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Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding


Nov 04, 2018
Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan

* Accepted by AAAI 2019 

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Incorporating GAN for Negative Sampling in Knowledge Representation Learning


Sep 23, 2018
Peifeng Wang, Shuangyin Li, Rong pan

* Accepted to AAAI 2018 

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