Cognitively Aided Zero-Shot Automatic Essay Grading
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 22 Feb 2021.
Builds on
5 of 23 references.
References · 5
- 2018Automated essay scoring with string kernels and word embeddingscited by 31
- 2017SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoringcited by 22
- 2019Co-Attention Based Neural Network for Source-Dependent Essay Scoringcited by 11
- 2018Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviourcited by 9
- 2020Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviourcited by 9
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Citing papers per year: 2024: 1.
1 paper.