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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016
A Review on Presentation Slides Generation for Scientific Papers
Vishakha N. Pawar | Manisha M. Naoghare
Abstract: This paper discusses a way for slides generation without human intervention from a text, studying the generation of presentation slides from a scientific paper and also examines the demanding task of incessantly creating presentation slides from scientific papers. The produced slides can be used as a rough copy to help moderators setup their orderly slides in a swift manner. This paper introduces a novel system called PPSGen to assist everyone create such slides. The system uses the revert procedure to conclude the Score of the sentences in an paper and then uses the whole number Integer Linear Programming (ILP) system to create wellordered slides by selecting and changing key vocabulary and sentences. Results are based on a test game plan of 200 arrangements of papers and slides assembled on the web, display that our proposed PPSGen structure can make slides with improved quality. A client study also exhibits that PPSGen has palpable benefit over baseline methods.
Keywords: ing methods, text mining, Support Vector, Regression SVR, ILP, Classification
Edition: Volume 5 Issue 11, November 2016,
Pages: 910 - 913