28 citations · 68 across the 4 of their papers we have counts for
8 papers
Towards Efficient Local Causal Structure Learning
Shuai Yang, Hao Wang, Kui Yu +2
Local causal structure learning aims to discover and distinguish direct causes (parents) and direct effects (children) of a variable of interest from data. While emerging successes…
Chinese Lexical Simplification
Jipeng Qiang, Xinyu Lu, Yun Li +3
Lexical simplification has attracted much attention in many languages, which is the process of replacing complex words in a given sentence with simpler alternatives of equivalent m…
LSBert: A Simple Framework for Lexical Simplification
Jipeng Qiang, Yun Li, Yi Zhu +2
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning, to simplify the sentence. Recently unsupervised…
Causality-based Feature Selection: Methods and Evaluations
Kui Yu, Xianjie Guo, Lin Liu +4
Feature selection is a crucial preprocessing step in data analytics and machine learning. Classical feature selection algorithms select features based on the correlations between p…
Lexical Simplification with Pretrained Encoders
Jipeng Qiang, Yun Li, Yi Zhu +2
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning. Recently unsupervised lexical simplification ap…
STTM: A Tool for Short Text Topic Modeling
Jipeng Qiang, Yun Li, Yunhao Yuan +2
Along with the emergence and popularity of social communications on the Internet, topic discovery from short texts becomes fundamental to many applications that require semantic un…