8 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
Can Pre-trained Language Models Understand Chinese Humor?
Yuyan Chen, Zhixu Li, Jiaqing Liang +3
Humor understanding is an important and challenging research in natural language processing. As the popularity of pre-trained language models (PLMs), some recent work makes prelimi…
Open Set Relation Extraction via Unknown-Aware Training
Jun Zhao, Xin Zhao, Wenyu Zhan +6
The existing supervised relation extraction methods have achieved impressive performance in a closed-set setting, where the relations during both training and testing remain the sa…
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Xiao Wang, Weikang Zhou, Qi Zhang +7
Pretrained language models have achieved remarkable success in various natural language processing tasks. However, pretraining has recently shifted toward larger models and larger…
Semantic-based Data Augmentation for Math Word Problems
Ailisi Li, Jiaqing Liang, Yanghua Xiao
It's hard for neural MWP solvers to deal with tiny local variances. In MWP task, some local changes conserve the original semantic while the others may totally change the underlyin…