5 papers
UniqueRank: Identifying Important and Difficult-to-Replace Nodes in Attributed Graphs
Erica Cai, Benjamin A. Miller, Olga Simek +1
Node-ranking methods that focus on structural importance are widely used in a variety of applications, from ranking webpages in search engines to identifying key molecules in biomo…
Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attacks
Erica Cai, Xi Chen, Reagan Grey Keeney +3
Comparative studies of news coverage are challenging to conduct because methods to identify news articles about the same event in different languages require expertise that is diff…
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Erica Cai, Brendan O'Connor
Knowledge graphs (KGs) are useful for analyzing social structures, community dynamics, institutional memberships, and other complex relationships across domains from sociology to p…
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets
Erica Cai, Sean McQuade, Kevin Young +1
When knowledge graphs (KGs) are automatically extracted from text, are they accurate enough for downstream analysis? Unfortunately, current annotated datasets can not be used to ev…
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction
Erica Cai, Brendan O'Connor
Current social science efforts automatically populate event databases of "who did what to whom?" tuples, by applying event extraction (EE) to text such as news. The event databases…