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Hierarchical deep neural networks for MeSH subject prediction

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Figure

Fig. 2. Number of labels per distribution bin for all MeSH headings and subheadings in the dataset prior tocleaning.
Fig. 3. Distribution of top 1000 most frequent labels in the subset of Medline
Fig. 4. XML-CNN Architecture as it appears in the original paper[32]
Fig. 5. Example architecture illustrating Soft Parameter Sharing [45]
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