AGReE: A system for generating Automated Grammar Reading Exercises
October 28, 2022 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
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Authors
Sophia Chan, Swapna Somasundaran, Debanjan Ghosh, Mengxuan Zhao
arXiv ID
2210.16302
Category
cs.CL: Computation & Language
Citations
4
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
Abstract
We describe the AGReE system, which takes user-submitted passages as input and automatically generates grammar practice exercises that can be completed while reading. Multiple-choice practice items are generated for a variety of different grammar constructs: punctuation, articles, conjunctions, pronouns, prepositions, verbs, and nouns. We also conducted a large-scale human evaluation with around 4,500 multiple-choice practice items. We notice for 95% of items, a majority of raters out of five were able to identify the correct answer and for 85% of cases, raters agree that there is only one correct answer among the choices. Finally, the error analysis shows that raters made the most mistakes for punctuation and conjunctions.
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