Grammar induction pretraining for language modeling in low resource contexts

Xuanda Chen; Eva Portelance

doi:10.18653/v1/2023.conll-babylm.5

Grammar induction pretraining for language modeling in low resource contexts

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Anthology ID:: 2023.conll-babylm.5
Volume:: Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Month:: December
Year:: 2023
Address:: Singapore
Editors:: Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, Ryan Cotterell
Venues:: CoNLL | BabyLM | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 69–73
Language:
URL:: https://aclanthology.org/2023.conll-babylm.5/
DOI:: 10.18653/v1/2023.conll-babylm.5
Bibkey:
Cite (ACL):: Xuanda Chen and Eva Portelance. 2023. Grammar induction pretraining for language modeling in low resource contexts. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 69–73, Singapore. Association for Computational Linguistics.
Cite (Informal):: Grammar induction pretraining for language modeling in low resource contexts (Chen & Portelance, CoNLL-BabyLM 2023)
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PDF:: https://aclanthology.org/2023.conll-babylm.5.pdf

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@inproceedings{chen-portelance-2023-grammar,
    title = "Grammar induction pretraining for language modeling in low resource contexts",
    author = "Chen, Xuanda  and
      Portelance, Eva",
    editor = "Warstadt, Alex  and
      Mueller, Aaron  and
      Choshen, Leshem  and
      Wilcox, Ethan  and
      Zhuang, Chengxu  and
      Ciro, Juan  and
      Mosquera, Rafael  and
      Paranjabe, Bhargavi  and
      Williams, Adina  and
      Linzen, Tal  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.conll-babylm.5/",
    doi = "10.18653/v1/2023.conll-babylm.5",
    pages = "69--73"
}

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%0 Conference Proceedings
%T Grammar induction pretraining for language modeling in low resource contexts
%A Chen, Xuanda
%A Portelance, Eva
%Y Warstadt, Alex
%Y Mueller, Aaron
%Y Choshen, Leshem
%Y Wilcox, Ethan
%Y Zhuang, Chengxu
%Y Ciro, Juan
%Y Mosquera, Rafael
%Y Paranjabe, Bhargavi
%Y Williams, Adina
%Y Linzen, Tal
%Y Cotterell, Ryan
%S Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F chen-portelance-2023-grammar
%R 10.18653/v1/2023.conll-babylm.5
%U https://aclanthology.org/2023.conll-babylm.5/
%U https://doi.org/10.18653/v1/2023.conll-babylm.5
%P 69-73

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Markdown (Informal)

[Grammar induction pretraining for language modeling in low resource contexts](https://aclanthology.org/2023.conll-babylm.5/) (Chen & Portelance, CoNLL-BabyLM 2023)

Grammar induction pretraining for language modeling in low resource contexts (Chen & Portelance, CoNLL-BabyLM 2023)

ACL

Xuanda Chen and Eva Portelance. 2023. Grammar induction pretraining for language modeling in low resource contexts. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 69–73, Singapore. Association for Computational Linguistics.