@inproceedings{mathias-bhattacharyya-2020-neural,
title = "Can Neural Networks Automatically Score Essay Traits?",
author = "Mathias, Sandeep and
Bhattacharyya, Pushpak",
editor = "Burstein, Jill and
Kochmar, Ekaterina and
Leacock, Claudia and
Madnani, Nitin and
Pil{\'a}n, Ildik{\'o} and
Yannakoudakis, Helen and
Zesch, Torsten",
booktitle = "Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications",
month = jul,
year = "2020",
address = "Seattle, WA, USA → Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.bea-1.8",
doi = "10.18653/v1/2020.bea-1.8",
pages = "85--91",
abstract = "Essay traits are attributes of an essay that can help explain how well written (or badly written) the essay is. Examples of traits include Content, Organization, Language, Sentence Fluency, Word Choice, etc. A lot of research in the last decade has dealt with automatic holistic essay scoring - where a machine rates an essay and gives a score for the essay. However, writers need feedback, especially if they want to improve their writing - which is why trait-scoring is important. In this paper, we show how a deep-learning based system can outperform feature-based machine learning systems, as well as a string kernel system in scoring essay traits.",
}
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<abstract>Essay traits are attributes of an essay that can help explain how well written (or badly written) the essay is. Examples of traits include Content, Organization, Language, Sentence Fluency, Word Choice, etc. A lot of research in the last decade has dealt with automatic holistic essay scoring - where a machine rates an essay and gives a score for the essay. However, writers need feedback, especially if they want to improve their writing - which is why trait-scoring is important. In this paper, we show how a deep-learning based system can outperform feature-based machine learning systems, as well as a string kernel system in scoring essay traits.</abstract>
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%0 Conference Proceedings
%T Can Neural Networks Automatically Score Essay Traits?
%A Mathias, Sandeep
%A Bhattacharyya, Pushpak
%Y Burstein, Jill
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Madnani, Nitin
%Y Pilán, Ildikó
%Y Yannakoudakis, Helen
%Y Zesch, Torsten
%S Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2020
%8 July
%I Association for Computational Linguistics
%C Seattle, WA, USA → Online
%F mathias-bhattacharyya-2020-neural
%X Essay traits are attributes of an essay that can help explain how well written (or badly written) the essay is. Examples of traits include Content, Organization, Language, Sentence Fluency, Word Choice, etc. A lot of research in the last decade has dealt with automatic holistic essay scoring - where a machine rates an essay and gives a score for the essay. However, writers need feedback, especially if they want to improve their writing - which is why trait-scoring is important. In this paper, we show how a deep-learning based system can outperform feature-based machine learning systems, as well as a string kernel system in scoring essay traits.
%R 10.18653/v1/2020.bea-1.8
%U https://aclanthology.org/2020.bea-1.8
%U https://doi.org/10.18653/v1/2020.bea-1.8
%P 85-91
Markdown (Informal)
[Can Neural Networks Automatically Score Essay Traits?](https://aclanthology.org/2020.bea-1.8) (Mathias & Bhattacharyya, BEA 2020)
ACL
- Sandeep Mathias and Pushpak Bhattacharyya. 2020. Can Neural Networks Automatically Score Essay Traits?. In Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 85–91, Seattle, WA, USA → Online. Association for Computational Linguistics.