Automatic Slide Generation of Academic Paper
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Presentation slides have been a effective and easy means to present and transfer information, especially in academic conferences. Academic papers are difficult to read and summarize content within a short span of time. This consumes large amount of time and effort of the researchers to extract information from the papers. Existing system have tools such as Microsoft PowerPoint in windows and Open Office in open source to format slides but not in the content generation. It still take presenters time to prepare the content from scratch. In general, automatic slide generation for academic paper is a very challenging task than summarization. Current methods like GDA tag set, TF-IDF, Hidden Markov Model (HMM) scores generally extract any sentences from the paper to construct the slides. The proposed method extracts important sentence from the paper and automatically generate slides which can be used as basis and draft slide. It first employs the regression method to learn the important scores of the sentences in an academic paper, and then exploits the integer linear programming to generate well structured slides by selecting and aligning key phrases and sentences. The work focuses on both text and image elements such as figures into the slide and the goal of this system is to automatically generate well structured slides by considering both text and image elements in paper and provide such draft slides as a basis to reduce the presenter’s time and effort when preparing their final presentation slides.
Authors and Affiliations
Aruna M, Manju A
Keywords
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