@inproceedings{guo-etal-2021-ensemble,
title = "An Ensemble Model for Automatic Grading of Evidence",
author = "Guo, Yuting and
Ge, Yao and
Liao, Ruqi and
Sarker, Abeed",
editor = "Rahimi, Afshin and
Lane, William and
Zuccon, Guido",
booktitle = "Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association",
month = dec,
year = "2021",
address = "Online",
publisher = "Australasian Language Technology Association",
url = "https://aclanthology.org/2021.alta-1.25",
pages = "213--217",
abstract = "This paper describes our approach for the automatic grading of evidence task from the Australasian Language Technology Association (ALTA) Shared Task 2021. We developed two classification models with SVM and RoBERTa and applied an ensemble technique to combine the grades from different classifiers. Our results showed that the SVM model achieved comparable results to the RoBERTa model, and the ensemble system outperformed the individual models on this task. Our system achieved the first place among five teams and obtained 3.3{\%} higher accuracy than the second place.",
}
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%0 Conference Proceedings
%T An Ensemble Model for Automatic Grading of Evidence
%A Guo, Yuting
%A Ge, Yao
%A Liao, Ruqi
%A Sarker, Abeed
%Y Rahimi, Afshin
%Y Lane, William
%Y Zuccon, Guido
%S Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association
%D 2021
%8 December
%I Australasian Language Technology Association
%C Online
%F guo-etal-2021-ensemble
%X This paper describes our approach for the automatic grading of evidence task from the Australasian Language Technology Association (ALTA) Shared Task 2021. We developed two classification models with SVM and RoBERTa and applied an ensemble technique to combine the grades from different classifiers. Our results showed that the SVM model achieved comparable results to the RoBERTa model, and the ensemble system outperformed the individual models on this task. Our system achieved the first place among five teams and obtained 3.3% higher accuracy than the second place.
%U https://aclanthology.org/2021.alta-1.25
%P 213-217
Markdown (Informal)
[An Ensemble Model for Automatic Grading of Evidence](https://aclanthology.org/2021.alta-1.25) (Guo et al., ALTA 2021)
ACL
- Yuting Guo, Yao Ge, Ruqi Liao, and Abeed Sarker. 2021. An Ensemble Model for Automatic Grading of Evidence. In Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association, pages 213–217, Online. Australasian Language Technology Association.