E3w—a combined model based on greedysoup weighting strategy for chinese agricultural news classification

HIGHLIGHTS

  • who: Zeyan Xiao and collaborators from the College of Information Engineering, Sichuan University, Yaan, China have published the paper: E3Wu2014A Combined Model Based on GreedySoup Weighting Strategy for Chinese Agricultural News Classification, in the Journal: (JOURNAL)
  • what: The authors propose classification model based on ERNIE + DPCNN ERNIE EGC and Word2Vec + TextCNN as sub-models for short-agriculture text classification (E3W) utilizing the GreedySoup weighting strategy and multi-model combination; specifically E3W consists of four sub-models the output of which is processed using the GreedySoup weighting strategy. This model has achieved the best results in . . .

     

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