A new Bayesian measurement model for civil war and improved forecasting techniques.
A bag of tricks for efficient, custom event data production, using transformer-based classifiers, question-answering models, Wikipedia entity linking, and active learning.
POLECAT is a new global event dataset for social science research, coded in the PLOVER event ontology.
Synthetically generated text can help researchers address common issues in supervised text analysis.
A corpus of complete annotations on police events in India with zero-shot QA baselines.
New task and data on detecting the size of protests from news data with very limited training data.
Methodological guidance on conducting campaign analysis, a technique for studying military operations.
A new technique for automatically extracting political events from text using grammatical structure and machine learning.
New micro-level data on civilian casualities in Syria.
A method for linking events with the place where they reportedly occur, using text.
Different text sources and classifiers produce different understanding of political violence in Syria
Dissertation prospectus framing three generations of text analysis in political science and prospects for word order-aware methods, especially for information extraction.
Mordecai is an open source geoparser that can extract place names from text and resolve them to their geographic coordinates.
A military campaign analysis of Russian hybrid warfare in Ukraine and the logitical requirements for a hypothetical US military response.
Learning warning signs from diplomatic cables and retrospective analysis of intelligence failures.