Papers by So-Yeon Ahn
DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing (2025.acl-long)
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| Challenge: | Automated essay scoring (AES) is a useful tool in English as a foreign language (EFL) writing education. |
| Approach: | They propose a large-scale, standard dataset for rubric-based automated essay scoring with 48.9K samples in total. |
| Outcome: | The proposed system improves the baseline scores by 45.44%. |
RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education (2024.lrec-main)
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| Challenge: | generative AI is expanding in education, yet empirical analyses of large-scale and real-world interactions between students and AI systems remain limited. |
| Approach: | They present a dataset based on a semester-long experiment with 212 college students in English as Foreign Language (EFL) writing courses. |
| Outcome: | The proposed dataset includes conversation logs, students’ intent, students' self-rated satisfaction, and students’ essay edit histories. |
Rethinking Annotation: Can Language Learners Contribute? (2023.acl-long)
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| Challenge: | Researchers have traditionally recruited native speakers to provide annotations for benchmark datasets, but there are languages for which recruiting native speakers is difficult. |
| Approach: | They recruit 36 language learners and provide two types of additional resources and perform mini-tests to measure their language proficiency. |
| Outcome: | The proposed method improves learners' language proficiency in terms of vocabulary and grammar. |