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Towards Answering Biological Questions with Experimental Evidence: Automatically Identifying Text that Summarize Image Content in Full-Text Articles
Images (i.e., figures) are important experimental evidence that are typically reported in bioscience full-text articles. Biologists need to access images to validate research facts and to formulate or to test novel research hypotheses. We propose to build a biological question answering system that...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Medical Informatics Association
2006
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| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1839512/ https://ncbi.nlm.nih.gov/pubmed/17238458 |
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