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Understanding explicit arithmetic word problems and explicit plane geometry problems using syntax-semantics models

Authors :
Wenbin Gan
Xinguo Yu
Mingshu Wang
Source :
IALP
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

This paper presents two algorithms for understanding explicit arithmetic word problems (EAWPs) and explicit plane geometry problems (EPGPs) following the sharing approach, respectively. This approach proposed in this paper models understanding math problems as a problem of relation extraction, instead of as the problem of understanding the semantics of natural language. Then it further proposes a syntax-semantics (S2) model method to extract math relations. The S2 model method is very effective in that only 116 models can extract most of relations in EAWPs and that only 48 models can extract most of relations in EPGP texts. The experimental results show that the proposed algorithms can understand EAWPs and EPGPs very well.

Details

Database :
OpenAIRE
Journal :
2017 International Conference on Asian Language Processing (IALP)
Accession number :
edsair.doi...........288548018c0e06a20ebb59b1d3568e5c
Full Text :
https://doi.org/10.1109/ialp.2017.8300590