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PPSGen: Learning-Based Presentation Slides Generation for Academic Papers.

Authors :
Hu, Yue
Wan, Xiaojun
Source :
IEEE Transactions on Knowledge & Data Engineering; Apr2015, Vol. 27 Issue 4, p1085-1097, 13p
Publication Year :
2015

Abstract

In this paper, we investigate a very challenging task of automatically generating presentation slides for academic papers. The generated presentation slides can be used as drafts to help the presenters prepare their formal slides in a quicker way. A novel system called PPSGen is proposed to address this task. It first employs the regression method to learn the importance scores of the sentences in an academic paper, and then exploits the integer linear programming (ILP) method to generate well-structured slides by selecting and aligning key phrases and sentences. Evaluation results on a test set of 200 pairs of papers and slides collected on the web demonstrate that our proposed PPSGen system can generate slides with better quality. A user study is also illustrated to show that PPSGen has a few evident advantages over baseline methods. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
10414347
Volume :
27
Issue :
4
Database :
Complementary Index
Journal :
IEEE Transactions on Knowledge & Data Engineering
Publication Type :
Academic Journal
Accession number :
101560726
Full Text :
https://doi.org/10.1109/TKDE.2014.2359652