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. 2006;2006:834-8.

Towards Answering Biological Questions With Experimental Evidence: Automatically Identifying Text That Summarize Image Content in Full-Text Articles

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Free PMC article

Towards Answering Biological Questions With Experimental Evidence: Automatically Identifying Text That Summarize Image Content in Full-Text Articles

Hong Yu. AMIA Annu Symp Proc. .
Free PMC article

Abstract

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 provides experimental evidences as answers in response to biological questions. As a first step, we develop natural language processing techniques to identify sentences that summarize image content.

Figures

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Figure 1
: An example of a full-text biological article (pmid=12808147) in which the abstract sentences summarize the corresponding images (Arrows indicate the correspondences).
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