The State of Relation Extraction Data Quality: Is Bigger Always Better?
Erica Cai, Brendan O'Connor.
Association of Computational Linguistics (ACL) (Findings) 2024.
From Low Resource Information Extraction to Identifying Influential Nodes in Knowledge Graphs.
Erica Cai, Olga Simek, Benjamin Miller, Danielle Sullivan-Pao, Evan Young, Christopher Smith.
Complex Networks XV, published in Springer Nature, presented at International Conference on Complex Networks, 2024. (Oral) [pdf]
Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials.
Laura B. Balzer, Erica Cai, Lucas Godoy Garraza, Pracheta Amaranath.
Biometrics, 2023. [pdf]
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical
Event Extraction.
Erica Cai, Brendan O'Connor.
New England NLP (from abstract) 2023 (Oral); Text as Data (from abstract) 2023; NeurIPS Instruction Tuning and Instruction Following Workshop 2023. [pdf]
Evaluating Zero-Shot Event Structures: Recommendations for Automatic
Content Extraction (ACE) Annotations.
Erica Cai, Brendan O'Connor.
Association of Computational Linguistics (ACL) 2023. [pdf]
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests.
Erica Cai, Andrew McGregor, David Jensen.
NeurIPS Causal Machine Learning for Real World Impact Workshop 2022 [pdf] [poster]
"Let Me Just Interrupt You": Estimating Gender Effects in Supreme Court Oral Arguments.
Erica Cai, Ankita Gupta, Katherine Keith, Brendan O’Connor, Douglas Rice.
Journal of Law and Courts 2024; Text as Data (from abstract) 2022. [pdf][poster]
MC3D: A Posterior Predictive Check for Learning Directed Graphical Models.
David Jensen, Erica Cai.
Submitted, 2022 and in progress.
Measuring Interventional Robustness in Reinforcement Learning.
Katherine Avery*, Jack Kenney*, Pracheta Amaranath, Erica Cai, David Jensen.
ArXiv, 2022. [pdf]