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
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/2021.findings-acl.439.pdf
- Code
- jumelet/monotonicity-npi-lm