Language Models Use Monotonicity to Assess NPI Licensing

Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld


Anthology ID:
2021.findings-acl.439
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4958–4969
Language:
URL:
https://aclanthology.org/2021.findings-acl.439
DOI:
10.18653/v1/2021.findings-acl.439
Bibkey:
Cite (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.
Cite (Informal):
Language Models Use Monotonicity to Assess NPI Licensing (Jumelet et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.439.pdf
Optional supplementary material:
 2021.findings-acl.439.OptionalSupplementaryMaterial.zip
Code
 jumelet/monotonicity-npi-lm