Papers by Mengxuan Zhao

2 papers
AGReE: A system for generating Automated Grammar Reading Exercises (2022.emnlp-demos)

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Challenge: AGReE is a system that generates multiple-choice grammar practice items . common core standards for K-12 English literacy include grammar as a learning outcome .
Approach: They propose a system that generates multiple-choice grammar practice exercises that can be completed while reading.
Outcome: The proposed grammar-reading exercise system can be completed while reading . it offers immediate feedback, similar to a more formal incentive system .
Controlled Language Generation for Language Learning Items (2022.emnlp-industry)

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Challenge: Recent advances in pre-trained language models have resulted in success in generating fluent English text.
Approach: They propose to employ natural language generation to rapidly generate English language items . they experiment with deep pretrained models and develop methods for controlling items for factors relevant in language learning .
Outcome: The proposed framework shows high grammatically scores for all models and higher complexity over baseline models.

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