Survey: A Learning Based Slide Generation from Academic Paper
Journal: International Journal of Engineering Research (IJER) (Vol.5, No. 6)Publication Date: 2016-06-01
Authors : Amritha S. Dev; Amina Beevi A.;
Page : 467-468
Keywords : Abstracting methods; text mining; Support Vector Regression model; Integer Linear Programing;
Abstract
A presentation is the process of showcasing a subject to an audience. It is a form of lecture, demonstration, or speech that conveysinformation to listeners.Now in this digital era,presentation learning became an important way of expressing ones opinion. But making of these slides are tedious process that takes much time. A rough structure of paper in the form of presentation slide can save a lot of time of a presenter.This paper provides a novel system called PPSGen that help to automatically create slides from the academic paper. Here Support Vector Regression model (SVM) are used to find the important score of the sentences . The Integer Linear Programing (ILP) method is used to generate slide and detect the global and local phrases that can be used in slide.The slides produce the main topics of the paper and its respective main points. This paper shows a survey on PPSGen: Learning-Based Presentation Slides Generation for Academic Papers. The PPSGen has various advantages over baseline methods.
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Last modified: 2016-08-08 17:47:37