@inproceedings{felice-etal-2022-cepoc,
title = "{CEPOC}: The {C}ambridge Exams Publishing Open Cloze dataset",
author = "Felice, Mariano and
Taslimipoor, Shiva and
Andersen, {\O}istein E. and
Buttery, Paula",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.456",
pages = "4285--4290",
abstract = "Open cloze tests are a standard type of exercise where examinees must complete a text by filling in the gaps without any given options to choose from. This paper presents the Cambridge Exams Publishing Open Cloze (CEPOC) dataset, a collection of open cloze tests from world-renowned English language proficiency examinations. The tests in CEPOC have been expertly designed and validated using standard principles in language research and assessment. They are prepared for language learners at different proficiency levels and hence classified into different CEFR levels (A2, B1, B2, C1, C2). This resource can be a valuable testbed for various NLP tasks. We perform a complete set of experiments on three tasks: gap filling, gap prediction, and CEFR text classification. We implement transformer-based systems based on pre-trained language models to model each task and use our dataset as a test set, providing promising benchmark results.",
}
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%0 Conference Proceedings
%T CEPOC: The Cambridge Exams Publishing Open Cloze dataset
%A Felice, Mariano
%A Taslimipoor, Shiva
%A Andersen, Øistein E.
%A Buttery, Paula
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F felice-etal-2022-cepoc
%X Open cloze tests are a standard type of exercise where examinees must complete a text by filling in the gaps without any given options to choose from. This paper presents the Cambridge Exams Publishing Open Cloze (CEPOC) dataset, a collection of open cloze tests from world-renowned English language proficiency examinations. The tests in CEPOC have been expertly designed and validated using standard principles in language research and assessment. They are prepared for language learners at different proficiency levels and hence classified into different CEFR levels (A2, B1, B2, C1, C2). This resource can be a valuable testbed for various NLP tasks. We perform a complete set of experiments on three tasks: gap filling, gap prediction, and CEFR text classification. We implement transformer-based systems based on pre-trained language models to model each task and use our dataset as a test set, providing promising benchmark results.
%U https://aclanthology.org/2022.lrec-1.456
%P 4285-4290
Markdown (Informal)
[CEPOC: The Cambridge Exams Publishing Open Cloze dataset](https://aclanthology.org/2022.lrec-1.456) (Felice et al., LREC 2022)
ACL
- Mariano Felice, Shiva Taslimipoor, Øistein E. Andersen, and Paula Buttery. 2022. CEPOC: The Cambridge Exams Publishing Open Cloze dataset. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4285–4290, Marseille, France. European Language Resources Association.