- 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
- Venue:
- CoNLL
- 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 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 2023)
- BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition (Oba et al., CoNLL 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.