Inducing Taxonomic Knowledge from Pretrained Transformers. - Catherine Chen 002; Kevin Lin; Dan Klein 001 (CoRR, 2020)

Constructing Taxonomies from Pretrained Language Models. - Catherine Chen 002; Kevin Lin; Dan Klein 001 (NAACL-HLT, 2021)

Attention weights accurately predict language representations in the brain. - Mathis Lamarre; Catherine Chen 002; Fatma Deniz (EMNLP (Findings), 2022)

Does unsupervised grammar induction need pixels? - Boyi Li; Rodolfo Corona; Karttikeya Mangalam; Catherine Chen 002; Daniel Flaherty; Serge J. Belongie; Kilian Q. Weinberger; Jitendra Malik; Trevor Darrell; Dan Klein 001 (CoRR, 2022)

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. - Catherine Chen 002; Zejiang Shen 001; Dan Klein 001; Gabriel Stanovsky; Doug Downey; Kyle Lo (ACL (Findings), 2023)

Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. - Boyi Li; Rodolfo Corona; Karttikeya Mangalam; Catherine Chen 002; Daniel Flaherty; Serge J. Belongie; Kilian Q. Weinberger; Jitendra Malik; Trevor Darrell; Dan Klein 001 (NAACL-HLT (Findings), 2024)