Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams
Article Status
Published
Authors/contributors
- Hill, Jennifer (Author)
- Simha, Rahul (Author)
Title
Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams
Date
2016
Proceedings Title
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications
Conference Name
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications
Place
San Diego, CA
Publisher
Association for Computational Linguistics
Pages
23-30
Language
en
Accessed
06/05/2024, 21:19
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: hill2016
<标题>: 使用共现可能性和谷歌 n-gram 自动生成基于上下文的填空练习
<AI Smry>: A unique application of word co-occurrence likelihoods and the Google n-grams corpus is used to select words with strong contextual links to their surrounding text, and to generate distractors that make sense only in an isolated narrow context and not in the full context of the passage.
Citation
Hill, J., & Simha, R. (2016). Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 23–30. https://doi.org/10.18653/v1/W16-0503
Link to this record