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Towards Generating Object-Oriented Programs Automatically from Natural Language Texts for Solving Mathematical Word Problems

机译:从自然语言文本自动生成面向对象的程序以解决数学单词问题

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This paper proposes a novel technique for generating object-oriented computer program automatically from natural language text input containing a mathematical word problem (MWP) to produce the final answer. The system identifies all the entities like owners, items, cardinal values from the MWP texts and the arithmetic operations by understanding the verb semantics. Successively, it generates a complete object oriented program using JAVA language. The proposed system can solve addition-subtraction type MWPs and produced an accuracy of 90.48% on a subset of the AI2 Arithmetic Questions (http://allenai.org/ data.html) dataset.
机译:本文提出了一种新技术,该技术可以从包含数学单词问题(MWP)的自然语言文本输入中自动生成面向对象的计算机程序,以产生最终答案。该系统通过理解动词语义来识别所有实体,例如MWP文本中的所有者,项目,基数和算术运算。随后,它使用JAVA语言生成了一个完整的面向对象程序。拟议的系统可以解决加减型MWP,并在AI2算术问题(http://allenai.org/ data.html)数据集的子集上产生90.48%的精度。

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