Before revision:  This paper considers the following questions: (1) Why should learning the distribution of natural language help with downstream classificationtasks ? (2) Why do features learned using language modelinghelp solve downstream tasks with linear classifiers ?
After revision:  This paper considers the following questions: (1) What is the intuitive connection between the pretraining task of next word prediction and text classification ? (2) Why do features learned using language modelinghelp solve downstream tasks with linear classifiers ?