PPSGen: Learning to Generate Presentation Slides for Academic Papers
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 2099-2104.
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 regression methods to learn the importance 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.
@inproceedings{ijcai2013p310,
title = {PPSGen: Learning to Generate Presentation Slides for Academic Papers},
author = {Hu, Yue and Wan, Xiaojun},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {2099--2104},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/310},
}
TY - CPAPER TI - PPSGen: Learning to Generate Presentation Slides for Academic Papers AU - Hu, Yue AU - Wan, Xiaojun T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 2099 EP - 2104 UR - https://ijcai.org/proceedings/2013/310 ER -Copied
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