[2206.11848] Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions
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Computer Science > Computation and Language

arXiv:2206.11848 (cs)
[Submitted on 25 May 2022]

Title:Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions

Authors:Aarish Chhabra, Nandini Bansal, Venktesh V, Mukesh Mohania, Deep Dwivedi
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Abstract:Exams are conducted to test the learner's understanding of the subject. To prevent the learners from guessing or exchanging solutions, the mode of tests administered must have sufficient subjective questions that can gauge whether the learner has understood the concept by mandating a detailed answer. Hence, in this paper, we propose a novel hybrid unsupervised approach leveraging rule-based methods and pre-trained dense retrievers for the novel task of automatically converting the objective questions to subjective questions. We observe that our approach outperforms the existing data-driven approaches by 36.45% as measured by Recall@k and Precision@k.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2206.11848 [cs.CL]
  (or arXiv:2206.11848v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2206.11848

Submission history

From: Venktesh Viswanathan [view email]
[v1] Wed, 25 May 2022 11:46:46 UTC (423 KB)
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