@inproceedings{garneau-lamontagne-2021-shared,
title = "Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process",
author = "Garneau, Nicolas and
Lamontagne, Luc",
editor = "Belz, Anya and
Fan, Angela and
Reiter, Ehud and
Sripada, Yaji",
booktitle = "Proceedings of the 14th International Conference on Natural Language Generation",
month = aug,
year = "2021",
address = "Aberdeen, Scotland, UK",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.inlg-1.26",
doi = "10.18653/v1/2021.inlg-1.26",
pages = "266--270",
abstract = "We hereby present our submission to the Shared Task in Evaluating Accuracy at the INLG 2021 Conference. Our evaluation protocol relies on three main components; rules and text classifiers that pre-annotate the dataset, a human annotator that validates the pre-annotations, and a web interface that facilitates this validation. Our submission consists in fact of two submissions; we first analyze solely the performance of the rules and classifiers (pre-annotations), and then the human evaluation aided by the former pre-annotations using the web interface (hybrid). The code for the web interface and the classifiers is publicly available.",
}
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%0 Conference Proceedings
%T Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process
%A Garneau, Nicolas
%A Lamontagne, Luc
%Y Belz, Anya
%Y Fan, Angela
%Y Reiter, Ehud
%Y Sripada, Yaji
%S Proceedings of the 14th International Conference on Natural Language Generation
%D 2021
%8 August
%I Association for Computational Linguistics
%C Aberdeen, Scotland, UK
%F garneau-lamontagne-2021-shared
%X We hereby present our submission to the Shared Task in Evaluating Accuracy at the INLG 2021 Conference. Our evaluation protocol relies on three main components; rules and text classifiers that pre-annotate the dataset, a human annotator that validates the pre-annotations, and a web interface that facilitates this validation. Our submission consists in fact of two submissions; we first analyze solely the performance of the rules and classifiers (pre-annotations), and then the human evaluation aided by the former pre-annotations using the web interface (hybrid). The code for the web interface and the classifiers is publicly available.
%R 10.18653/v1/2021.inlg-1.26
%U https://aclanthology.org/2021.inlg-1.26
%U https://doi.org/10.18653/v1/2021.inlg-1.26
%P 266-270
Markdown (Informal)
[Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process](https://aclanthology.org/2021.inlg-1.26) (Garneau & Lamontagne, INLG 2021)
ACL