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Understanding explicit arithmetic word problems and explicit plane geometry problems using syntax-semantics models
- 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.
- Subjects :
- 03 medical and health sciences
Model method
0302 clinical medicine
Syntax (programming languages)
Computer science
030221 ophthalmology & optometry
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
02 engineering and technology
Arithmetic
Semantics
Relationship extraction
Natural language
Subjects
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