Hierarchical Attention Networks for Document Classification

    HLT-NAACL, pp. 1480-1489, 2016.

    Cited by: 1524|Bibtex|47|
    EI

    Abstract:

    We propose a hierarchical attention network for document classification. Our model has two distinctive characteristics: (i) it has a hierarchical structure that mirrors the hierarchical structure of documents; (ii) it has two levels of attention mechanisms applied at the wordand sentence-level, enabling it to attend differentially to more...More
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