@inproceedings{mathias-etal-2020-cognitively,
title = "Cognitively Aided Zero-Shot Automatic Essay Grading",
author = "Mathias, Sandeep and
Murthy, Rudra and
Kanojia, Diptesh and
Bhattacharyya, Pushpak",
editor = "Bhattacharyya, Pushpak and
Sharma, Dipti Misra and
Sangal, Rajeev",
booktitle = "Proceedings of the 17th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2020",
address = "Indian Institute of Technology Patna, Patna, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2020.icon-main.23",
pages = "175--180",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Cognitively Aided Zero-Shot Automatic Essay Grading
%A Mathias, Sandeep
%A Murthy, Rudra
%A Kanojia, Diptesh
%A Bhattacharyya, Pushpak
%Y Bhattacharyya, Pushpak
%Y Sharma, Dipti Misra
%Y Sangal, Rajeev
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON)
%D 2020
%8 December
%I NLP Association of India (NLPAI)
%C Indian Institute of Technology Patna, Patna, India
%F mathias-etal-2020-cognitively
%X 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.
%U https://aclanthology.org/2020.icon-main.23
%P 175-180
Markdown (Informal)
[Cognitively Aided Zero-Shot Automatic Essay Grading](https://aclanthology.org/2020.icon-main.23) (Mathias et al., ICON 2020)
ACL
- Sandeep Mathias, Rudra Murthy, Diptesh Kanojia, and Pushpak Bhattacharyya. 2020. Cognitively Aided Zero-Shot Automatic Essay Grading. In Proceedings of the 17th International Conference on Natural Language Processing (ICON), pages 175–180, Indian Institute of Technology Patna, Patna, India. NLP Association of India (NLPAI).