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Multi-Label Text Classification Based on Shared Semantic SpaceChinese Full TextEnglish Full Text (MT)

SUN Kun;QIN Bowen;SANG Jitao;YU Jian;School of Computer and Information Technology, Beijing Jiaotong University;

Abstract: In the multi-label text classification task, each given document corresponds to a set of related labels. At present, it mainly faces the following three problems:(1)the joint modeling of label-text and label-label relationships is inadequate;(2)the semantic mining of the label itself is insufficient;(3)the utilization of the internal structure information of the label is ignored. To solve the above problems, this study proposes a multi-label text classification method based on joint attention an... More
  • Series:

    (I) Electronic Technology & Information Science

  • Subject:

    Computer Software and Application of Computer

  • Classification Code:

    TP391.1

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