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DeTEXT: A Database for Evaluating Text Extraction from Biomedical Literature Figures
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...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4423993/ https://ncbi.nlm.nih.gov/pubmed/25951377 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0126200 |
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