Survey on Mathematical Word Problem Solving Using Natural Language Processing

Abstract

Natural language processing (NLP) is typically used for analyzing a large set of data. It has traditional applicability like sentiment analysis, spam mail detection, summarizing a large text. However, word problem solving is challenging if it is to be done with NLP. There are some approaches which have been proposed. Some could solve basic arithmetic problems like addition/subtraction. Knowledge representation is the main task to be done by NLP. Each kind of problem can be solved by a specific approach. This survey paper is the overview of the work done in this area till date and also discuss what can be done to improve and extend the work.