Automatically Solving Number Word Problems by Semantic Parsing and Reasoning
Shuming Shi, Yuehui Wang, Chin-Yew Lin, Xiaojiang Liu, Yong Rui · 2015
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.