Solving arithmetic word problems by synergizing syntax-semantics extractor for explicit relations and neural network miner for implicit relations

HIGHLIGHTS

  • who: Xinguo Yu from the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China have published the research: Solving arithmetic word problems by synergizing syntax-semantics extractor for explicit relations and neural network miner for implicit relations, in the Journal: (JOURNAL)
  • what: Another demerit of the equation-centric approach is that most of the algorithms in this approach have a limited scope because they can produce only linear equations . Learning from the existing methods, this study proposes an algorithm for solving AWPs. The aim of this paper is to design high performance . . .

     

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