Solving Arithmetic Word Problems of Entailing Deep Implicit Relations by Qualia Syntax-Semantic Model  

作　　者：Hao Meng Xinguo Yu Bin He Litian Huang Liang Xue Zongyou Qiu 

机构地区：[1]Faculty of Artificial Intelligence in Education,Central China Normal University,Wuhan,430079,China

出　　处：《Computers, Materials & Continua》2023年第10期541-555,共15页计算机、材料和连续体（英文）

基　　金：The National Natural Science Foundation of China(No.61977029)supported the work;supported partly by Nurturing Program for Doctoral Dissertations at Central China Normal University(No.2022YBZZ028).

摘　　要：Solving arithmetic word problems that entail deep implicit relations is still a challenging problem.However,significant progress has been made in solving Arithmetic Word Problems(AWP)over the past six decades.This paper proposes to discover deep implicit relations by qualia inference to solve Arithmetic Word Problems entailing Deep Implicit Relations(DIR-AWP),such as entailing commonsense or subject-domain knowledge involved in the problem-solving process.This paper proposes to take three steps to solve DIR-AWPs,in which the first three steps are used to conduct the qualia inference process.The first step uses the prepared set of qualia-quantity models to identify qualia scenes from the explicit relations extracted by the Syntax-Semantic(S2)method from the given problem.The second step adds missing entities and deep implicit relations in order using the identified qualia scenes and the qualia-quantity models,respectively.The third step distills the relations for solving the given problem by pruning the spare branches of the qualia dependency graph of all the acquired relations.The research contributes to the field by presenting a comprehensive approach combining explicit and implicit knowledge to enhance reasoning abilities.The experimental results on Math23K demonstrate hat the proposed algorithm is superior to the baseline algorithms in solving AWPs requiring deep implicit relations.

关 键 词：Arithmetic word problem implicit quantity relations qualia syntax-semantic model 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]