Search Results for author: Shengyu Jia

Found 2 papers, 2 papers with code

Neural Gibbs Sampling for Joint Event Argument Extraction

1 code implementation Asian Chapter of the Association for Computational Linguistics 2020 Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie zhou

Existing EAE methods either extract each event argument roles independently or sequentially, which cannot adequately model the joint probability distribution among event arguments and their roles.

Event Argument Extraction Event Extraction

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization

1 code implementation ACL 2020 Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang

With little performance loss, our method can almost remove the bias amplification in the distribution.

Cannot find the paper you are looking for? You can Submit a new open access paper.