Multi-grained attention representation with albert for aspect-level sentiment classification

HIGHLIGHTS

• who: . et al. from the School of Science, Xijing University, Xi'an, China have published the research work: Multi-Grained Attention Representation with ALBERT for Aspect-Level Sentiment Classification, in the Journal: (JOURNAL)
• what: The authors propose Multi-head Aspect-Context Attention over Attention (Multi AC-AOA), which focuses on interactively extracting features between aspect and context. The aim of this mechanism is to focus on solving the problem of relevance between the aspect and the context, not to learn the relevance between the aspect and the context and the word weight within the context . . .
  

   

  

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