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

Abstract This paper presents a relation-centric algorithm for solving arithmetic word problems (AWPs) by synergizing a syntax-semantics extractor for extracting explicit relations, and a neural network miner for mining implicit relations. This is the first algorithm that has a specific component to...

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Principais autores: Xinguo Yu, Xiaopan Lyu, Rao Peng, Jun Shen
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2022-07-01
Serier:Complex & Intelligent Systems
Fag:
Problem solving
State-action paradigm
Relation-centric
Explicit relation
Implicit relation
Syntax-semantics model
Online adgang:https://doi.org/10.1007/s40747-022-00828-0
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