- Anthology ID:
- 2023.conll-babylm.28
- 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:
- 317–326
- Language:
- URL:
- https://aclanthology.org/2023.conll-babylm.28
- DOI:
- 10.18653/v1/2023.conll-babylm.28
- Bibkey:
- Cite (ACL):
- Chenghao Xiao, G Thomas Hudson, and Noura Al Moubayed. 2023. Towards more Human-like Language Models based on Contextualizer Pretraining Strategy. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 317–326, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- Towards more Human-like Language Models based on Contextualizer Pretraining Strategy (Xiao et al., CoNLL 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.conll-babylm.28.pdf
Export citation
@inproceedings{xiao-etal-2023-towards,
title = "Towards more Human-like Language Models based on Contextualizer Pretraining Strategy",
author = "Xiao, Chenghao and
Hudson, G Thomas and
Al Moubayed, Noura",
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.28",
doi = "10.18653/v1/2023.conll-babylm.28",
pages = "317--326",
}
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%0 Conference Proceedings %T Towards more Human-like Language Models based on Contextualizer Pretraining Strategy %A Xiao, Chenghao %A Hudson, G. Thomas %A Al Moubayed, Noura %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 xiao-etal-2023-towards %R 10.18653/v1/2023.conll-babylm.28 %U https://aclanthology.org/2023.conll-babylm.28 %U https://doi.org/10.18653/v1/2023.conll-babylm.28 %P 317-326
Markdown (Informal)
[Towards more Human-like Language Models based on Contextualizer Pretraining Strategy](https://aclanthology.org/2023.conll-babylm.28) (Xiao et al., CoNLL 2023)
- Towards more Human-like Language Models based on Contextualizer Pretraining Strategy (Xiao et al., CoNLL 2023)
ACL
- Chenghao Xiao, G Thomas Hudson, and Noura Al Moubayed. 2023. Towards more Human-like Language Models based on Contextualizer Pretraining Strategy. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 317–326, Singapore. Association for Computational Linguistics.