Measuring Interventional Robustness in Reinforcement Learning. - Katherine Avery; Jack Kenney; Pracheta Amaranath; Erica Cai; David D. Jensen (CoRR, 2022)

Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests. - Erica Cai; Andrew McGregor 001; David D. Jensen (CoRR, 2022)

Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations. - Erica Cai; Brendan T. O'Connor 001 (ACL (2), 2023)

A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction. - Erica Cai; Brendan O'Connor 001 (CoRR, 2023)

The State of Relation Extraction Data Quality: Is Bigger Always Better? - Erica Cai; Brendan T. O'Connor 001 (ACL (Findings), 2024)

From low resource information extraction to identifying influential nodes in knowledge graphs. - Erica Cai; Olga Simek; Benjamin A. Miller; Danielle Sullivan-Pao; Evan Young; Christopher L. Smith (CoRR, 2024)

Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attacks. - Erica Cai; Xi Chen; Reagan Grey Keeney; Ethan Zuckerman; Brendan T. O'Connor 001; Przemyslaw A. Grabowicz (ICWSM, 2025)

Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets. - Erica Cai; Sean McQuade; Kevin Young; Brendan T. O'Connor 001 (CoRR, 2025)

Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs. - Erica Cai; Brendan T. O'Connor 001 (CoRR, 2025)