Classifying and Solving Arithmetic Math Word Problems--An Intelligent Math Solver

Autor/inn/en	Mandal, Sourav; Naskar, Sudip Kumar
Titel	Classifying and Solving Arithmetic Math Word Problems--An Intelligent Math Solver
Quelle	In: IEEE Transactions on Learning Technologies, 14 (2021) 1, S.28-41 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Mandal, Sourav) ORCID (Naskar, Sudip Kumar)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1939-1382
DOI	10.1109/TLT.2021.3057805
Schlagwörter	Classification; Word Problems (Mathematics); Problem Solving; Arithmetic; Computer Software; Intelligent Tutoring Systems; Equations (Mathematics); Prediction; Accuracy + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Textaufgabe; Problemlösen; Addition; Arithmetik; Arithmetikunterricht; Rechnen; Intelligentes Tutorsystem; Equations; Mathematics; Gleichungslehre; Vorhersage
Abstract	Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, which has gained momentum in the recent years. Applications of solving varieties of MWPs can increase the efficacy of teaching-learning systems, such as e-learning systems, intelligent tutoring systems, etc., to help improve learning (or teaching) to solve word problems by providing interactive computer support for peer math tutoring. This article is specifically intended to benefit such teaching-learning systems on arithmetic word problems solving by adding an interactive and intelligent word problem solver to assess an individual's learning outcome. This article presents arithmetic mathematical word problems solver (AMWPS), an educational software application for solving arithmetic word problems involving single equation with single operation. This article is based on a combination of a machine learning based (classification) approach and a rule-based approach. We start with classification of arithmetic word problems into four categories (Change, Compare, Combine, and Division-Multiplication) along with their subcategories, followed by the classification of operations (+, -, *, and /) related to different subcategories. Our system processes an input arithmetic word problem, predicts the category and subcategory, predicts the operation, identifies and retrieves the relevant quantities within the problem with respect to answer generation, and formulates and evaluates the mathematical expression to generate the final answer. AMWPS outperformed similar systems on the standard AddSub and SingleOp datasets and produced new state-of-the-art result (94.22% accuracy). (As Provided).
Anmerkungen	Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01