Generating Presentation Slides for Academic Paper using SVR and ILP Technique

Abstract

PowerPoint Presentation is a common means of mechanism for a person to project his or her view meaningfully and pictorially. Accordingly, generating slides to make effective presentations is a tedious work in present days. In this view, a novel system PPS Gen is used to generate presentation slides which can be used as a draft by all the stakeholders. The slides not only have text elements but also has graphical element named as figures and tables. The existing work focuses only on text elements. This paper proposes a model that focuses on graphical elements additionally. The model first uses the Support Vector Regression (SVR) method to learn the strength of relationship between the sentences to make effective presentations, further the method of Integer Linear Programming (ILP) used to select, align key phrases and sentences. The final slides will have good structure and content quality from academic papers.