pretraining-bea2019

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pretraining-bea2019

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Models, system configurations and outputs of our winning GEC systems in the BEA 2019 shared task described in R. Grundkiewicz, M. Junczys-Dowmunt, K. Heafield: Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data, BEA 2019.

pretraining-bea2019 최신버젼 다운로드

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# Neural GEC Systems with Unsupervised Pre-Training on Synthetic Data

This repository contains models, system configurations and outputs of our
winning GEC systems in [the BEA 2019 shared
task](https://www.cl.cam.ac.uk/research/nl/bea2019st/) described in R.
Grundkiewicz, M. Junczys-Dowmunt, K. Heafield: [Neural Grammatical Error
Correction Systems with Unsupervised Pre-training on Synthetic
Data](https://www.aclweb.org/anthology/W19-4427), BEA 2019.

## Citation

```
@inproceedings{grundkiewicz-etal-2019-neural,
    title = "Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data",
    author = "Grundkiewicz, Roman  and
        Junczys-Dowmunt, Marcin  and
        Heafield, Kenneth",
    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://www.aclweb.org/anthology/W19-4427",
    pages = "252--263",
}
```

## Content

- `systems` - original GEC systems developed for and submitted to the
  restricted and low-resource tracks
- `outputs` - corrected output and evaluation scores for common GEC test sets
- `training` - updated training scripts re-producing our GEC system

See _README_ files in each subdirectory for more information.  In case of any
questions, please open an issue or send me (Roman) an email.

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