Generating Political Event Data in Near Real Time: Opportunities and Challenges. - John Beieler; Patrick T. Brandt; Andrew Halterman; Philip A. Schrodt; Erin M. Simpson (Computational Social Science, 2016)

Adaptive scalable pipelines for political event data generation. - Andrew Halterman; Jill Irvine; Manar Landis; Phanindra Jalla; Yan Liang 004; Christan Grant; Mohiuddin Solaimani (IEEE BigData, 2017)

Mordecai: Full Text Geoparsing and Event Geocoding. - Andrew Halterman (J. Open Source Softw., 2017)

New Techniques for Coding Political Events across Languages. - Yan Liang 004; Khaled Jabr; Christan Grant; Jill Irvine; Andrew Halterman (IRI, 2018)

Geolocating Political Events in Text. - Andrew Halterman (CoRR, 2019)

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. - Andrew Halterman; Katherine A. Keith; Sheikh Muhammad Sarwar; Brendan O'Connor 001 (ACL/IJCNLP (Findings), 2021)

Few-Shot Upsampling for Protest Size Detection. - Andrew Halterman; Benjamin J. Radford (ACL/IJCNLP (Findings), 2021)

Political Event Coding as Text-to-Text Sequence Generation. - Yaoyao Dai; Benjamin J. Radford; Andrew Halterman (CASE@EMNLP, 2022)

Mordecai 3: A Neural Geoparser and Event Geocoder. - Andrew Halterman (CoRR, 2023)

Synthetically generated text for supervised text analysis. - Andrew Halterman (CoRR, 2023)

Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks. - Andrew Halterman; Philip A. Schrodt; Andreas Beger; Benjamin E. Bagozzi; Grace I. Scarborough (CoRR, 2023)

Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks. - Andrew Halterman; Katherine A. Keith (CoRR, 2024)