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%0 Conference Proceedings
%T Language Models Use Monotonicity to Assess NPI Licensing
%A Jumelet, Jaap
%A Denic, Milica
%A Szymanik, Jakub
%A Hupkes, Dieuwke
%A Steinert-Threlkeld, Shane
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F jumelet-etal-2021-language
%R 10.18653/v1/2021.findings-acl.439
%U https://aclanthology.org/2021.findings-acl.439/
%U https://doi.org/10.18653/v1/2021.findings-acl.439
%P 4958-4969

Markdown (Informal)

[Language Models Use Monotonicity to Assess NPI Licensing](https://aclanthology.org/2021.findings-acl.439/) (Jumelet et al., Findings 2021)

• Language Models Use Monotonicity to Assess NPI Licensing (Jumelet et al., Findings 2021)

ACL

• Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, and Shane Steinert-Threlkeld. 2021. Language Models Use Monotonicity to Assess NPI Licensing. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4958–4969, Online. Association for Computational Linguistics.