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1000
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Abstract/Summary
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Assigning categories to scholarly articles is a common approach to help researchers navigate the continuously growing scientific literature. This is a task well-covered in biomedical literature thanks to efforts assigning Medical Subject Headings to biomedical abstracts, particularly from Medline. Here we propose a multilabel-classification approach to assign major topics to biomedical literature with the purpose of later applying transfer learning to cover conference papers and preprints, as well as the agricultural domain. In this poster we present some preliminary results.
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