Title
PosterBot: A System for Generating Posters of Scientific Papers with Neural Models.
Abstract
Posters are broadly used to present the important points of academic papers and can be seen as a special form of document summarization. However, the problem of automatic poster generation is under-investigated. In this paper, we present PosterBot, an automatic poster generation system for academic papers. Given a scholarly paper, PosterBot takes three steps to generate the poster. It first selects the most important sections, and then generates corresponding panels from them. Finally, all panels are integrated to get the complete poster. The demonstration shows the efficacy of our proposed system.
Year
Venue
Keywords
2022
AAAI Conference on Artificial Intelligence
Document Summarization,Poster Generation,Scholarly Paper
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Sheng Xu101.01
Xiaojun Wan21685125.70