Context Limitations Make Neural Language Models More Human-Like. Kuribayashi, T., Oseki, Y., Brassard, A., & Inui, K. In Goldberg, Y., Kozareva, Z., & Zhang, Y., editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, pages 10421–10436, 2022. Association for Computational Linguistics.
Paper doi bibtex @inproceedings{DBLP:conf/emnlp/KuribayashiOBI22,
author = {Tatsuki Kuribayashi and
Yohei Oseki and
Ana Brassard and
Kentaro Inui},
editor = {Yoav Goldberg and
Zornitsa Kozareva and
Yue Zhang},
title = {Context Limitations Make Neural Language Models More Human-Like},
booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural
Language Processing, {EMNLP} 2022, Abu Dhabi, United Arab Emirates,
December 7-11, 2022},
pages = {10421--10436},
publisher = {Association for Computational Linguistics},
year = {2022},
url = {https://doi.org/10.18653/v1/2022.emnlp-main.712},
doi = {10.18653/V1/2022.EMNLP-MAIN.712},
timestamp = {Thu, 10 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/emnlp/KuribayashiOBI22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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