Clause-level Relationship-aware Math Word Problems Solver
Chang-Yang Wu3
刊名Machine Intelligence Research
2022
卷号19期号:5页码:425-438
关键词Artificial intelligence (AI) artificial neural network (ANN) computational mathematics machine intelligence machine learning
ISSN号2731-538X
DOI10.1007/s11633-022-1351-2
英文摘要Automatically solving math word problems, which involves comprehension, cognition, and reasoning, is a crucial issue in artificial intelligence research. Existing math word problem solvers mainly work on word-level relationship extraction and the generation of expression solutions while lacking consideration of the clause-level relationship. To this end, inspired by the theory of two levels of process in comprehension, we propose a novel clause-level relationship-aware math solver (CLRSolver) to mimic the process of human comprehension from lower level to higher level. Specifically, in the lower-level processes, we split problems into clauses according to their natural division and learn their semantics. In the higher-level processes, following human′s multi-view understanding of clause-level relationships, we first apply a CNN-based module to learn the dependency relationships between clauses from word relevance in a local view. Then, we propose two novel relationship-aware mechanisms to learn dependency relationships from the clause semantics in a global view. Next, we enhance the representation of clauses based on the learned clause-level dependency relationships. In expression generation, we develop a tree-based decoder to generate the mathematical expression. We conduct extensive experiments on two datasets, where the results demonstrate the superiority of our framework.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/49917]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Laboratory of Mathematical Engineering and Advanced Computing, Information Engineering University, Zhengzhou 450001, China
2.Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
3.Anhui Province Key Laboratory of Big Data Analysis and Application, School of Data Science, University of Science and Technology of China, Hefei 230026, China
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Chang-Yang Wu. Clause-level Relationship-aware Math Word Problems Solver[J]. Machine Intelligence Research,2022,19(5):425-438.
APA Chang-Yang Wu.(2022).Clause-level Relationship-aware Math Word Problems Solver.Machine Intelligence Research,19(5),425-438.
MLA Chang-Yang Wu."Clause-level Relationship-aware Math Word Problems Solver".Machine Intelligence Research 19.5(2022):425-438.
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