9 citations · 16 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
Few-Shot Upsampling for Protest Size Detection
Andrew Halterman, Benjamin J. Radford
We propose a new task and dataset for a common problem in social science research: "upsampling" coarse document labels to fine-grained labels or spans. We pose the problem in a que…
Geolocating Political Events in Text
Andrew Halterman
This work introduces a general method for automatically finding the locations where political events in text occurred. Using a novel set of 8,000 labeled sentences, I create a meth…