Extraction of Relevant Text From Scientific Papers Using Machine Learningby@me3an

Extraction of Relevant Text From Scientific Papers Using Machine Learning

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A huge potential in the domain of vital information extraction and summarization of scientific papers that I believe is under-researched. In this article, I’ll show you how a technique created for biological image segmentation UNet can be combined with Optical Character Recognition to extract relevant parts of a scientific paper. The intended sections are ones that are commonly present in scientific papers such as Title, Abstract, and Author/s. I will be using UNet to learn where the sections can be found and then pass learned information into an OCR.

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