تقرير
Cognitively Aided Zero-Shot Automatic Essay Grading
| العنوان: | Cognitively Aided Zero-Shot Automatic Essay Grading |
|---|---|
| المؤلفون: | Mathias, Sandeep, Murthy, Rudra, Kanojia, Diptesh, Bhattacharyya, Pushpak |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence |
| الوصف: | Automatic essay grading (AEG) is a process in which machines assign a grade to an essay written in response to a topic, called the prompt. Zero-shot AEG is when we train a system to grade essays written to a new prompt which was not present in our training data. In this paper, we describe a solution to the problem of zero-shot automatic essay grading, using cognitive information, in the form of gaze behaviour. Our experiments show that using gaze behaviour helps in improving the performance of AEG systems, especially when we provide a new essay written in response to a new prompt for scoring, by an average of almost 5 percentage points of QWK. Comment: This paper was accepted for publication at ICON 2020: The 17th International Conference on Natural Language Processing, on December 20, 2021 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2102.11258 |
| رقم الأكسشن: | edsarx.2102.11258 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |