%S Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications %T A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning
Sequential park code#
We release all of our code and materials for reproducibility. Combined with a context-aware neural spellchecker, our system achieves competitive results in both restricted and low resource tracks in ACL 2019 BEAShared Task. Then, by sequentially applying transfer learning, we adapt these models to the domain and style of the test set. The resulting parallel corpora are sub-sequently used to pre-train Transformer models. Grammatical error correction can be viewed as a low-resource sequence-to-sequence task, because publicly available parallel corpora are limited.To tackle this challenge, we first generate erroneous versions of large unannotated corpora using a realistic noising function. Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational ApplicationsĪssociation for Computational Linguistics We release all of our code and materials for reproducibility.",Ī Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning Publisher = "Association for Computational Linguistics",Ībstract = "Grammatical error correction can be viewed as a low-resource sequence-to-sequence task, because publicly available parallel corpora are limited.To tackle this challenge, we first generate erroneous versions of large unannotated corpora using a realistic noising function.
Sequential park mods#
Cite (Informal): A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning (Choe et al., BEA 2019) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: Code kakaobrain/helo_word Data WI-LOCNESS, WikiText-103, = "A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning",īooktitle = "Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications", Association for Computational Linguistics. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 213–227, Florence, Italy. A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning. Anthology ID: W19-4423 Volume: Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications Month: August Year: 2019 Address: Florence, Italy Venue: BEA SIG: SIGEDU Publisher: Association for Computational Linguistics Note: Pages: 213–227 Language: URL: DOI: 10.18653/v1/W19-4423 Bibkey: choe-etal-2019-neural Cite (ACL): Yo Joong Choe, Jiyeon Ham, Kyubyong Park, and Yeoil Yoon. Abstract Grammatical error correction can be viewed as a low-resource sequence-to-sequence task, because publicly available parallel corpora are limited.To tackle this challenge, we first generate erroneous versions of large unannotated corpora using a realistic noising function.
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