Paper: Learning to Solve Arithmetic Word Problems with Verb Categorization

ACL ID D14-1058
Title Learning to Solve Arithmetic Word Problems with Verb Categorization
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

This paper presents a novel approach to learning to solve simple arithmetic word problems. Our system, ARIS, analyzes each of the sentences in the problem state- ment to identify the relevant variables and their values. ARIS then maps this infor- mation into an equation that represents the problem, and enables its (trivial) so- lution as shown in Figure 1. The pa- per analyzes the arithmetic-word problems ?genre?, identifying seven categories of verbs used in such problems. ARIS learns to categorize verbs with 81.2% accuracy, and is able to solve 77.7% of the problems in a corpus of standard primary school test questions. We report the first learning re- sults on this task without reliance on pre- defined templates and make our data pub- licly available. 1