2 papers
cs.CL2021
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification
Biyang Guo, Sonqiao Han, Hailiang Huang
Text augmentation techniques are widely used in text classification problems to improve the performance of classifiers, especially in low-resource scenarios. Whilst lots of creativ…
cs.CG2018
Distributions of Matching Distances in Topological Data Analysis
So Mang Han, Taylor Okonek, Nikesh Yadav +1
In topological data analysis, we want to discern topological and geometric structure of data, and to understand whether or not certain features of data are significant as opposed t…