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Automatic question generation for vocabulary assessment
Open accessAbstract
In the REAP system, users are automatically provided with texts to read targeted to their individual reading levels. To find appropriate texts, the user's vocabulary knowledge must be assessed. We describe an approach to automatically generating questions for vocabulary assessment. Traditionally, these assessments have been hand-written. Using data from WordNet, we generate 6 types of vocabulary questions. They can have several forms, including wordbank and multiple-choice. We present experimental results that suggest that these automatically-generated questions give a measure of vocabulary skill that correlates well with subject performance on independently developed human-written questions. In addition, strong correlations with standardized vocabulary tests point to the validity of our approach to automatic assessment of word knowledge.
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Nagy, W. E., Herman, P. A., & Anderson, R. C. (1985) · Reading Research Quarterly · doi:10.2307/747758 · Cited by 1,249
Cited by
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A computer-aided environment for generating multiple-choice test items
MITKOV, R., AN HA, L., & KARAMANIS, N. (2006) · Natural Language Engineering · doi:10.1017/s1351324906004177 · Cited by 229
Automatic Multiple Choice Question Generation From Text: A Survey
CH, D. R., & Saha, S. K. (2020) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2018.2889100 · Cited by 144
GPT-3-Driven Pedagogical Agents to Train Children’s Curious Question-Asking Skills
Abdelghani, R., Wang, Y.-H., Yuan, X., Wang, T., Lucas, P., Sauzéon, H., & Oudeyer, P.-Y. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-023-00340-7 · Cited by 129
Metadata
- Authors
- Brown, J. C., Frishkoff, G. A., & Eskenazi, M.
- Venue
- Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05
- Published
- 2005
- Pages
- 819-826
- OpenAlex
- W2161325192
- Cited by
- 247
- References
- 1
- FWCI
- 4.29
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Brown, J. C., Frishkoff, G. A., & Eskenazi, M. (2005). Automatic question generation for vocabulary assessment. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05. https://doi.org/10.3115/1220575.1220678
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