metadata
license: unknown
task_categories:
- text-classification
language:
- en
Lang 8 Task from the PEER Benchmark (Performance Evaluation of Edit Representations)
Description from the benchmark paper:
A corpus for GEC derived from the English subset of the Lang-8 platform, an online language learning website that encourages users to correct each other’s grammar (Mizumoto et al. 2012). In particular, we work with the version of the dataset released by Bryant et al. (2019) and further process it to skip examples where there are no grammar corrections.
The dataset was originally published at https://doi.org/10.5281/zenodo.4478266.
Citations
PEER Benchmark:
@article{marrese-taylor-et-al-2021,
title = {Variational Inference for Learning Representations of Natural Language Edits},
volume = {35},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17598}, DOI = {10.1609/aaai.v35i15.17598},
number = {15},
journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
author = {Marrese-Taylor, Edison and Reid, Machel and Matsuo, Yutaka},
year = {2021},
month = {May},
pages = {13552-13560},
}
Original data source:
@inproceedings{mizumoto-etal-2012-effect,
title = "The Effect of Learner Corpus Size in Grammatical Error Correction of {ESL} Writings",
author = "Mizumoto, Tomoya and
Hayashibe, Yuta and
Komachi, Mamoru and
Nagata, Masaaki and
Matsumoto, Yuji",
editor = "Kay, Martin and
Boitet, Christian",
booktitle = "Proceedings of {COLING} 2012: Posters",
month = dec,
year = "2012",
address = "Mumbai, India",
publisher = "The COLING 2012 Organizing Committee",
url = "https://aclanthology.org/C12-2084/",
pages = "863--872"
}
@inproceedings{bryant-etal-2019-bea,
title = "The {BEA}-2019 Shared Task on Grammatical Error Correction",
author = "Bryant, Christopher and
Felice, Mariano and
Andersen, {\O}istein E. and
Briscoe, Ted",
editor = "Yannakoudakis, Helen and
Kochmar, Ekaterina and
Leacock, Claudia and
Madnani, Nitin and
Pil{\'a}n, Ildik{\'o} and
Zesch, Torsten",
booktitle = "Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-4406/",
doi = "10.18653/v1/W19-4406",
pages = "52--75",
abstract = "This paper reports on the BEA-2019 Shared Task on Grammatical Error Correction (GEC). As with the CoNLL-2014 shared task, participants are required to correct all types of errors in test data. One of the main contributions of the BEA-2019 shared task is the introduction of a new dataset, the Write{\&}Improve+LOCNESS corpus, which represents a wider range of native and learner English levels and abilities. Another contribution is the introduction of tracks, which control the amount of annotated data available to participants. Systems are evaluated in terms of ERRANT F{\_}0.5, which allows us to report a much wider range of performance statistics. The competition was hosted on Codalab and remains open for further submissions on the blind test set."
}