PDFFigures 2.0: Mining figures from research papers

Figures and tables are key sources of information in many scholarly documents. However, current academic search engines do not make use of figures and tables when semantically parsing documents or presenting document summaries to users. To facilitate these applications we develop an algorithm that e...

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Bibliographic Details

Published in:	JCDL '16 : proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries : June 19-23, 2016, Newark, NJ, USA pp. 143 - 152
Main Authors:	Clark, Christopher, Divvala, Santosh
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.06.2016
Subjects:	academic search engine Computer science Data mining figure usage analysis Graphics Handheld computers Portable document format Scalable figure extraction Search engines section title extraction Semantics
Online Access:	Get full text
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