Catherine Chen

According to our database, Catherine Chen authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction.

Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.

Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Does unsupervised grammar induction need pixels?

Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein

CoRR, 2022

Attention weights accurately predict language representations in the brain.

Mathis Lamarre, Catherine Chen, Fatma Deniz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Constructing Taxonomies from Pretrained Language Models.

Catherine Chen, Kevin Lin, Dan Klein

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Inducing Taxonomic Knowledge from Pretrained Transformers.

Catherine Chen, Kevin Lin, Dan Klein

CoRR, 2020