@inproceedings{castilho-2021-towards,
title = "Towards Document-Level Human {MT} Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation",
author = "Castilho, Sheila",
booktitle = "Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.humeval-1.4",
pages = "34--45",
abstract = "Document-level human evaluation of machine translation (MT) has been raising interest in the community. However, little is known about the issues of using document-level methodologies to assess MT quality. In this article, we compare the inter-annotator agreement (IAA) scores, the effort to assess the quality in different document-level methodologies, and the issue of misevaluation when sentences are evaluated out of context.",
}
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%0 Conference Proceedings
%T Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation
%A Castilho, Sheila
%S Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)
%D 2021
%8 apr
%I Association for Computational Linguistics
%C Online
%F castilho-2021-towards
%X Document-level human evaluation of machine translation (MT) has been raising interest in the community. However, little is known about the issues of using document-level methodologies to assess MT quality. In this article, we compare the inter-annotator agreement (IAA) scores, the effort to assess the quality in different document-level methodologies, and the issue of misevaluation when sentences are evaluated out of context.
%U https://aclanthology.org/2021.humeval-1.4
%P 34-45
Markdown (Informal)
[Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation](https://aclanthology.org/2021.humeval-1.4) (Castilho, HumEval 2021)
ACL