Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Publication date | 5/06/2023 |
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Host publication | Advancing Natural Language Processing in Educational Assessment |
Editors | Victoria Yaneva, Matthias von Davier |
Place of Publication | London |
Publisher | Routledge |
Pages | 77-89 |
Number of pages | 13 |
ISBN (electronic) | 9781000904161 |
ISBN (print) | 9781032203904, 9781032244525 |
<mark>Original language</mark> | English |
Name | NCME APPLICATIONS OF EDUCATIONAL MEASUREMENT AND ASSESSMENT |
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Publisher | Routledge |
Deep learning (DL) has taken the research community by storm. The employment of DL techniques can be seen everywhere, DL has been pervasive as methodology, and the area of multiple-choice question generation is also joining the club of DL applications. In this chapter, we propose a DL methodology to solve a problem which to our knowledge has not been tackled before: the generation of multiple-choice questions (MCQs) which are based on the information of not one sentence only, but on a sequence of sentences.