DeTEXT: A Database for Evaluating Text Extraction from Biomedical Literature Figures
Identifieur interne : 000010 ( Pmc/Corpus ); précédent : 000009; suivant : 000011DeTEXT: A Database for Evaluating Text Extraction from Biomedical Literature Figures
Auteurs : Xu-Cheng Yin ; Chun Yang ; Wei-Yi Pei ; Haixia Man ; Jun Zhang ; Erik Learned-Miller ; Hong YuSource :
- PLoS ONE [ 1932-6203 ] ; 2015.
Abstract
Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. Since text is a rich source of information in figures, automatically extracting such text may assist in the task of mining figure information. A high-quality ground truth standard can greatly facilitate the development of an automated system. This article describes
Url:
DOI: 10.1371/journal.pone.0126200
PubMed: 25951377
PubMed Central: 4423993
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