理解显式算术字问题和显式平面几何问题使用语法-语义模型

Xinguo Yu, Wenbin Gan, Mingshu Wang
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引用次数: 8

摘要

本文提出了两种基于共享方法的显式算术字问题(EAWPs)和显式平面几何问题(EPGPs)的理解算法。本文提出的方法将理解数学问题建模为关系提取问题,而不是理解自然语言的语义问题。然后进一步提出了一种语法语义(S2)模型方法来提取数学关系。S2模型方法是非常有效的,在eawp中只有116个模型可以提取大部分关系,在EPGP文本中只有48个模型可以提取大部分关系。实验结果表明,该算法可以很好地理解eawp和epgp。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding explicit arithmetic word problems and explicit plane geometry problems using syntax-semantics models
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.
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