@inproceedings{de-clercq-van-hoecke-2020-exploratory,
title = "An Exploratory Study into Automated Pr{\'e}cis Grading",
author = "De Clercq, Orphee and
Van Hoecke, Senne",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.50",
pages = "397--404",
abstract = "Automated writing evaluation is a popular research field, but the main focus has been on evaluating argumentative essays. In this paper, we consider a different genre, namely pr{\'e}cis texts. A pr{\'e}cis is a written text that provides a coherent summary of main points of a spoken or written text. We present a corpus of English pr{\'e}cis texts which all received a grade assigned by a highly-experienced English language teacher and were subsequently annotated following an exhaustive error typology. With this corpus we trained a machine learning model which relies on a number of linguistic, automatic summarization and AWE features. Our results reveal that this model is able to predict the grade of pr{\'e}cis texts with only a moderate error margin.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>Automated writing evaluation is a popular research field, but the main focus has been on evaluating argumentative essays. In this paper, we consider a different genre, namely précis texts. A précis is a written text that provides a coherent summary of main points of a spoken or written text. We present a corpus of English précis texts which all received a grade assigned by a highly-experienced English language teacher and were subsequently annotated following an exhaustive error typology. With this corpus we trained a machine learning model which relies on a number of linguistic, automatic summarization and AWE features. Our results reveal that this model is able to predict the grade of précis texts with only a moderate error margin.</abstract>
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%0 Conference Proceedings
%T An Exploratory Study into Automated Précis Grading
%A De Clercq, Orphee
%A Van Hoecke, Senne
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F de-clercq-van-hoecke-2020-exploratory
%X Automated writing evaluation is a popular research field, but the main focus has been on evaluating argumentative essays. In this paper, we consider a different genre, namely précis texts. A précis is a written text that provides a coherent summary of main points of a spoken or written text. We present a corpus of English précis texts which all received a grade assigned by a highly-experienced English language teacher and were subsequently annotated following an exhaustive error typology. With this corpus we trained a machine learning model which relies on a number of linguistic, automatic summarization and AWE features. Our results reveal that this model is able to predict the grade of précis texts with only a moderate error margin.
%U https://aclanthology.org/2020.lrec-1.50
%P 397-404
Markdown (Informal)
[An Exploratory Study into Automated Précis Grading](https://aclanthology.org/2020.lrec-1.50) (De Clercq & Van Hoecke, LREC 2020)
ACL