Robust Understanding of Word Problems with Extraneous Information
Yefim Bakman (Tel-Aviv University)

TL;DR
This paper presents a comprehensive model for understanding complex multi-step arithmetic word problems with extraneous information, demonstrating a move towards conscious and controlled problem-solving processes.
Contribution
A fully developed, computer-implemented model that captures essential skills for understanding complex word problems with extraneous details.
Findings
Validated model on diverse word problems with extraneous info
Shows progression from intuitive to controlled understanding
Provides a framework for systematic problem-solving
Abstract
Understanding of free-format multi-step arithmetic word problems with extraneous information is discussed. A model including a full set of general skills necessary for understanding such problems was developed and computer implemented. The validity of the simulation was confirmed by testing on a variety of word problems with extraneous information. The results of this study show the way for moving from an intuitive understanding of word problems to a conscious and controlled process.
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Taxonomy
TopicsNatural Language Processing Techniques · Advanced Text Analysis Techniques · Topic Modeling
