Automatically Solving Number Word Problems by Semantic Parsing and Reasoning

نویسندگان

  • Shuming Shi
  • Yuehui Wang
  • Chin-Yew Lin
  • Xiaojiang Liu
  • Yong Rui
چکیده

This paper presents a semantic parsing and reasoning approach to automatically solving math word problems. A new meaning representation language is designed to bridge natural language text and math expressions. A CFG parser is implemented based on 9,600 semi-automatically created grammar rules. We conduct experiments on a test set of over 1,500 number word problems (i.e., verbally expressed number problems) and yield 95.4% precision and 60.2% recall.

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تاریخ انتشار 2015