文章基本信息

标题：Importance Estimation for Figures and Tables in Scientific Papers Based on Importance and Position of Referring Sentences
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作者：Takashi Hiraoka ; Ryosuke Yamanishi ; Yoko Nishihara 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：243-247
出版社：Newswood and International Association of Engineers
摘要：We propose a method of estimating the importance of figures and tables in scientific papers by propagating importance beyond media; from language to image. In scientific papers, language and image information coordinately enable the reader to easily understand the complicated contents in detail. The proposed method propagates this importance from the sentence to figures/tables in which the position of the sentence referring to a figure/table and surrounding sentences are used to evaluate the importance of figures/tables. We conducted an experiment on estimating the importance of figures/tables by assuming figures/tables used in a presentation poster are important. The experimental results indicated that the proposed method exhibited the highest mean of the average precision (MAP) compared to comparative methods focusing on the size and caption of the figures/tables. We believe that the proposed method is effective in supporting the creation of scientific presentation posters from papers.
关键词：importance propagation; application of natural language processing; creative support; poster design;