James ate 5 oranges= Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems

Conference paper (2023)

Authors

Rishabh Gupta Indraprastha Institute of Information Technology Delhi, New Delhi
V. Viswanathan Indraprastha Institute of Information Technology Delhi, New Delhi
Mukesh Mohania Indraprastha Institute of Information Technology Delhi, New Delhi
Vikram Goyal Indraprastha Institute of Information Technology Delhi, New Delhi
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Published Date

2023-8

Language

English

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Abstract

We propose SCANING, an unsupervised framework for paraphrasing via controlled noise injection. We focus on the novel task of paraphrasing algebraic word problems having practical applications in online pedagogy as a means to reduce plagiarism as well as evoke reasoning capabilities on the part of the student instead of rote memorization. This task is more complex than paraphrasing general-domain corpora due to the difficulty in preserving critical information for solution consistency of the paraphrased word problem, managing the increased length of the text and ensuring diversity in the generated paraphrase. Existing approaches fail to demonstrate adequate performance on at least one, if not all, of these facets, necessitating the need for a more comprehensive solution. To this end, we model the noising search space as a composition of contextual and syntactic aspects to sample noising functions.