Biomedical semantic indexing by deep neural network with multi-task learning

BMC Bioinformatics, pp. 5022018.

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Our model uses the word2vec word embedding to represent the words in the citations, and the Bidirectional Gated Recurrent Units is used to create the representation of the data

Abstract:

Rather than parallel in an ordinary multi-task structure, the tasks in our model are serial and tightly coupled. It can achieve satisfied performance without any handcrafted feature.

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