Automatic solver for mathematical word problems

"Mathematical word problems (MWP) test critical aspects of reading comprehension in conjunction with generating a solution that agrees with the ""story"" in the problem. In this thesis we design and construct an MWP solver in a systematic manner, as a step toward enabling comprehension in mathematics. We do this by (a) identifying the discourse structure of MWPs that will enable comprehension in mathematics, and (b) utilizing the information in the discourse structure toward generating the solution in a systematic manner. We build a multistage software prototype that predicts the problem type, identifies the function of sentences in each problem, and extracts the necessary information from the question to generate the corresponding mathematical equation. Our prototype has an accuracy of 86% on a large corpus of MWPs of three problem types from the elementary grade mathematics curriculum."

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Amnueypornsakul, Bussaba

Contributors dc:contributor

• Viswanath, Pramod

• Natural Language Processing
• Automatic Solver
• Mathematic Word Problem
• Information Retrieval

Statement dc:rights

• Copyright 2014 Bussaba Amnueypornsakul

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/50450

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/50450