Multi-probe attention neural network for covid-19 semantic indexing

HIGHLIGHTS

  • who: Jinghang Gu from the Department of Chinese University, China have published the research: Multi-probe attention neural network for COVID-19 semantic indexing, in the Journal: (JOURNAL)
  • what: On top of the CovSI corpus, the authors propose a novel semantic indexing framework based on multi-probe attention neural_network (MPANN) to address the fundamental problem of semantic indexing for the emerging domain of COVID-19. The study demonstrates the superiority of the proposed method which outperforms the current state-of-the-art performance. (c) On the basis of the above-described resources, the authors propose . . .

     

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