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Title
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An exploratory study into automated précis grading
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Author
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Abstract
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| 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. |
| 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 precis texts. A precis is a written text that provides a coherent summary of main points of a spoken or written text. We present a corpus of English precis 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 precis texts with only a moderate error margin. |
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Language
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English
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Source (book)
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The 12th International Conference on Language Resources and Evaluation (LREC 20200, 11-16 May, 2020, Marseille, France)
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Publication
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Paris
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2020
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ISBN
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979-1-0955-4634-4
979-1-0955-4634-4
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Volume/pages
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(2020)
, p. 397-404
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ISI
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000724697200050
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