You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

 In recent years, researchers have proposed various filter based feature selection methods to raise the performance of document text classification BIBREF19.  Furthermore, in order to rank the terms based on their discriminative power among the classes, we use filter based feature selection method named as Normalized Difference Measure (NDM)BIBREF5. Considering the features contour plot, Rehman et al. BIBREF5 suggested that all those features which exist in top left, and bottom right corners of the contour are extremely significant as compared to those features which exist around diagonals. State-of-the-art filter based feature selection algorithms such as ACC2 treat all those features in the same fashion which exist around the diagonals BIBREF5.
Output:
Is the filter based feature selection (FSE) a form of regularization?