no code implementations • NAACL (DADC) 2022 • Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald
Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability.
1 code implementation • 29 May 2023 • Gabriella Chronis, Kyle Mahowald, Katrin Erk
We study semantic construal in grammatical constructions using large language models.
no code implementations • 29 Jun 2022 • Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald
Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability.
1 code implementation • CONLL 2020 • Gabriella Chronis, Katrin Erk
This paper investigates contextual language models, which produce token representations, as a resource for lexical semantics at the word or type level.