9 citations · 16 across the 3 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 2 cited
Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks
Andrew Halterman, Philip A. Schrodt, Andreas Beger +2
Event data, or structured records of ``who did what to whom'' that are automatically extracted from text, is an important source of data for scholars of international politics. The…
cs.CL2023★ 9 cited
Synthetically generated text for supervised text analysis
Andrew Halterman
Supervised text models are a valuable tool for political scientists but present several obstacles to their use, including the expense of hand-labeling documents, the difficulty of…
cs.CL2023★ 5 cited
Mordecai 3: A Neural Geoparser and Event Geocoder
Andrew Halterman
Mordecai3 is a new end-to-end text geoparser and event geolocation system. The system performs toponym resolution using a new neural ranking model to resolve a place name extracted…