Correct Metadata for
- Anthology ID:
- 2023.conll-babylm.25
- 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:
- 290–297
- Language:
- URL:
- https://aclanthology.org/2023.conll-babylm.25/
- DOI:
- 10.18653/v1/2023.conll-babylm.25
- Bibkey:
- Cite (ACL):
- Miyu Oba, Akari Haga, Akiyo Fukatsu, and Yohei Oseki. 2023. BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 290–297, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition (Oba et al., CoNLL-BabyLM 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.conll-babylm.25.pdf
Export citation
@inproceedings{oba-etal-2023-babylm,
title = "{B}aby{LM} Challenge: Curriculum learning based on sentence complexity approximating language acquisition",
author = "Oba, Miyu and
Haga, Akari and
Fukatsu, Akiyo and
Oseki, Yohei",
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.25/",
doi = "10.18653/v1/2023.conll-babylm.25",
pages = "290--297"
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%0 Conference Proceedings %T BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition %A Oba, Miyu %A Haga, Akari %A Fukatsu, Akiyo %A Oseki, Yohei %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 oba-etal-2023-babylm %R 10.18653/v1/2023.conll-babylm.25 %U https://aclanthology.org/2023.conll-babylm.25/ %U https://doi.org/10.18653/v1/2023.conll-babylm.25 %P 290-297
Markdown (Informal)
[BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition](https://aclanthology.org/2023.conll-babylm.25/) (Oba et al., CoNLL-BabyLM 2023)
- BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition (Oba et al., CoNLL-BabyLM 2023)
ACL
- Miyu Oba, Akari Haga, Akiyo Fukatsu, and Yohei Oseki. 2023. BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 290–297, Singapore. Association for Computational Linguistics.