MWPRanker: An Expression Similarity Based Math Word Problem Retriever

Conference Paper (2023)
Author(s)

Mayank Goel (NSUT)

V. Viswanathan (Indraprastha Institute of Information Technology Delhi, New Delhi)

Vikram Goyal (Indraprastha Institute of Information Technology Delhi, New Delhi)

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Publication Year
2023
Language
English
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Pages (from-to)
372-377

Abstract

Math Word Problems (MWPs) in online assessments help test the ability of the learner to make critical inferences by interpreting the linguistic information in them. To test the mathematical reasoning capabilities of the learners, sometimes the problem is rephrased or the thematic setting of the original MWP is changed. Since manual identification of MWPs with similar problem models is cumbersome, we propose a tool in this work for MWP retrieval. We propose a hybrid approach to retrieve similar MWPs with the same problem model. In our work, the problem model refers to the sequence of operations to be performed to arrive at the solution. We demonstrate that our tool is useful for the mentioned tasks and better than semantic similarity-based approaches, which fail to capture the arithmetic and logical sequence of the MWPs. A demo of the tool can be found at https://www.youtube.com/watch?v=gSQWP3chFIs.

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