Here are papers and presentations related to this project:
D’Orazio, Vito, Spencer Perkins, Margaret Smith, Patrick Brandt, Latifur Khan, Javier Osorio, Sultan Alsarra, Dagmar Heintze, Yibo Hu, Shreyas Meher (2025). “ConfliBERT: A Language for Political Conflict” Presented at West Virginia University Eberly AI Group. West Virginia University, Morgantown WV, April 25, 2025
Perkins, Spencer, and Vito D’Orazio (2025) “ConfliBERT: Conflict Based Language Models and Military Exercise Data.” Poster presented at West Virginia Undergraduate Research Day. Charleston WV. March 25, 2025
D’Orazio, Vito, Patrick Brandt, Latifur Khan, Javier Osorio, Sultan Alsarra, Dagmar Heintze, and Marcus Sianan. (2025) “ConfliBERT: A Language Model For Political Science” Paper presented at the International Studies Association. Chicago IL, March 3 2025
D’Orazio, Vito, Patrick Brandt, Latifur Khan, Javier Osorio, Margaret Smith, and Spencer Perkins. (2025). “ConfliBERT: A Language Model for Political Conflict” Presented at West Virginia University Eberly College Research Office, Bridging Mountains Series. West Virginia University, Morgantown WV, January 31, 2025
Alsarra, Sultan, Parker Whitehead, Naif Alatrush, Luay Abdeljaber, Latifur Khan, Javier Osorio, Patrick Brandt, Vito D’Orazio. (2024). “Extractive Question Answering for Spanish and Arabic Political Text” International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS Conference). Carnegie Mellon University, Pittsburgh, PA. September 19 2024. Recipient of Best Paper Award
Brandt, Patrick T., Sultan Alsarra, Vito J. D’Orazio, Dagmar Heintze, Latifur Khan, Shreyas Meher, Javier Osorio, and Marcus Sianan. (2024). “ConfliBERT: A Language Model for Political Conflict.” doi.org/10.48550/arXiv.2412.15060
Brandt, Patrick T., Latifur Khan, Vito D’Orazio, and Javier Osorio (2024) “Frameworks: Infrastructure for Political And Social Event Data Using Machine Learning” Poster presented at the National Science Foundation Principal Investigators Conference. Charlotte NC. https://doi.org/10.6084/m9.figshare.26720437.v1
Perkins, Spencer and Vito D'Orazio. (2024) “ConfliBERT: Conflict Based Language Models and Military Exercise Data.” Poster presented at West Virginia University Undergraduate Research Symposium. West Virginia University. Morgantown WV. Summer 2024. Runner-up for Best Poster in Social & Behavioral Sciences.
Hu, Yibo, Erick Skorupa Parolin, Latifur Khan, Patrick T. Brandt, Vito J. D’Orazio and Javier Osorio. (2024). "Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT". Association for Computational Linguistics (ACL) Bangkok, Thailand, August 11-16, 2024 doi.org/10.48550/arXiv.2308.07876 Github
Brandt, Patrick T., Vito D’Orazio, Latifur Khan, Yi-Fan Li, Javier Osorio & Marcus Sianan (2022). Conflict Forecasting with Event Data and Spatio-Temporal Graph Convolutional Networks, International Interactions, doi:10.1080/03050629.2022.2036987
Yang, Wooseong, Sultan Alsarra, Luay Abdeljaber, Niamat Zawad, Zeinab Delaram, Javier Osorio, Latifur Khan, Patrick T. Brandt, Vito D’Orazio. (2023). “ConfliBERT-Spanish: A Pre-Trained Spanish Language Model for Political Conflict and Violence” MNLP’23 – 5th IEEE Conference on Machine Learning and Natural Language Processing, 2023 7th IEEE Congress on Information Science and Technology (CiSt), Agadir – Essaouira, Morocco. 10.1109/CiSt56084.2023.10409883
Alsarra, Sultan, Luay Abdeljaber, Wooseong Yang, Niamat Zawad, Latifur Khan, Patrick T. Brandt, Javier Osorio and Vito D’Orazio. (2023). “ConfliBERT-Arabic: A Pre-trained Arabic Language Model for Politics, Conflicts and Violence” Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP), Varna, Bulgaria. September 4–6, 2023, pages 98–108. doi:10.26615/978-954-452-092-2_011
Osorio, Javier and Juan Vásquez. (2023). “Classifying Organized Criminal Violence in Mexico using ML and LLMs.” RANLP 2023, Varna, Bulgaria. September 4-6, 2023
D’Orazio, Vito and Yu Lin (2022) "Forecasting conflict in Africa with automated machine learning systems, International Interactions", doi:10.1080/03050629.2022.2017290
Brandt, Patrick T., Latifur Khan, Vito D'Orazio, and Javier Osario. (2022). "Sustaining Modern Infrastructure For Political And Social Event Data"(cssi_upload_1). Zenodo. doi:10.5281/zenodo.6870773
Parolin, Erick Skorupa, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, and Vito D’Orazio. (2022). “Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation,” 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 1906-1913, doi:10.1109/BigData55660.2022.10020509.
Parolin, Erick Skorupa, Mohammad Saleh Hosseini, Yibo Hu, Latifur Khan, Patrick Brandt, Javier Osorio, and Vito D’Orazio, (2022). “Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain”, In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES 22), August 1-3, 2022, Oxford, United Kingdom. ACM, New York, NY, USA. doi:10.1145/3514094.3534178
Hu, Yibo, Mohammad Saleh Hosseini, Erick Skorupa Parolin, Javier Osorio, Latifur Khan, Patrick T. Brandt, Vito J. DOrazio. (2022). “ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence”. NAACL: 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, Washington. July 10-15, 2022.
Brandt, Patrick T., Vito D’Orazio, Latifur Khan, Yi-Fan Li, Javier Osorio & Marcus Sianan (2022). "Conflict Forecasting with Event Data and Spatio-Temporal Graph Convolutional Networks", International Interactions, doi:10.1080/03050629.2022.2036987.
D’Orazio, Vito and Yu Lin (2022) "Forecasting conflict in Africa with automated machine learning systems", International Interactions, doi:10.1080/03050629.2022.2017290.
Parolin, Erick, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D’Orazio. (2021). “CoMe-KE: A New Transformers Based Approach for Knowledge Extraction on Conflict and Mediation Domain”, IEEE International Conference on Big Data (IEEE BigData 2021), Orlando, FL, USA, December 2021 doi:10.1109/BigDataSecurity-HPSC-IDS49724.2020.00052
Osorio, Javier, Patrick T. Brandt, Vito D’Orazio, Latifur Khan. (2021). “Revamping Event Coding Using CONFLIBERT”. TADA 2021: 11th Annual Conference on New Directions in Analyzing Text as Data, October 28–29, 2021. University of Michigan, Ann Arbor. (Cancelled by COVID-19)
Parolin, Erick, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito DOrazio and Jennifer Holmes. (2021). “3M-Transformers for Event Coding on Organized Crime Domain”, The 8th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2021), Porto, PRT, October 2021.
Li, Yi-Fan, Bo Dong, Latifur Khan, Bhavani Thuraisingham, Patrick T. Brandt, Vito J. D'Orazio. (2021). "Data-Driven Time Series Forecasting for Social Studies Using Spatio-Temporal Graph Neural Networks" September 2021, ACM (Association for Computing Machinery) doi:10.1145/3462203.3475929
Parolin, Erick Skorupa, Latifur Khan, Vito D'Orazio, Javier Osorio, Patrick Brandt and Jennifer Holmes. (2020). "HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain", IEEE International Conference on Data Science and Advanced Analytics (DSAA), Sydney, October 6--9, 2020. doi:10.1109/DSAA49011.2020.00055
Salam, Sayeed, Lamisah Khan, Amir El-Ghamry, Patrick Brandt, Jennifer Holmes, Vito D'Orazio, Javier Osorio. (2020). "Automatic Event Coding Framework for Spanish Political News Articles". 2020 IEEE 6th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS)}, May 25--27. Baltimore, MD, doi:10.1109/BigDataSecurity-HPSC-IDS49724.2020.00052
Salam, Sayeed, Patrick Brandt, Vito D'Orazio, Jennifer Holmes, Javier Osorio, and Latifur Khan. (2020). “An Online Structured Political Event Dataset Based on CAMEO Ontology.” SocArXiv. March 20. doi:10.31235/osf.io/vrt4a
Osorio, Javier, Viveca Pavon, Sayeed Salam, Jennifer S. Holmes, Patrick T. Brandt, and Latifur Khan. (2019). “Translating CAMEO Verbs for Automated Coding of Event Data” International Interactions. doi:10.1080/03050629.2019.1632304
Parolin, Erick Skorupa, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Jennifer Holmes. (2019). “Automated Verbal-Pattern Extraction from Political News Articles using CAMEO Event Coding Ontology,” 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelli- gent Data and Security (IDS), Washington, DC, USA, 2019, pp. 258-266. doi:10.1109/BigDataSecurity- HPSC-IDS.2019.00056
Brandt, Patrick T., Vito D’Orazio, Kevin Galambos, Jennifer Holmes, Yibo Hu, Latifur Khan, Javier Osorio, Erick Skorupa Parolin, Shahreen Psyche. (2020). “Transformer Models for Political Event Data.” Annual Meeting of the Southern Political Science Association. January 2020.
Kim, HyoungAh, Vito D’Orazio, Patrick T. Brandt, Jared Looper, Sayeed Salam, Latifur Khan, and Michael Shoemate. (2019). “UTDEventData: An R package to access political event data.” Journal of Open Source Software. 4(36), 1322, doi:doi:10.21105/joss.01322
Osorio, Javier, Viveca Pavon, Sayeed Salam, Jennifer S. Holmes, Patrick T. Brandt, and Latifur Khan. (2019). “Translating CAMEO Verbs for Automated Coding of Event Data.” International Interactions. doi:10.1080/03050629.2019.1632304.
Skorupa Parolin, Erick, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Jennifer Holmes. (2019). “Automated Verbal-Pattern Extraction from Political News Articles using CAMEO Event Coding Ontology,” 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), Washington, DC, USA, 2019, pp. 258-266. doi:10.1109/BigDataSecurity-HPSC-IDS.2019.00056.
Salam, Sayeed, Patrick T. Brandt, Jennifer S. Holmes, and Latifur Khan, (2018). “Distributed Framework for Political Event Coding in Real-Time,” 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2018, pp. 266-273. doi:10.1109/EECS.2018.00057.
Gunasekaran, Aswin, Maryam Bahjob Imani, Latifur Khan, Christan Grant, Patrick T. Brandt, and Jennifer S. Holmes. (2018). “SPERG: Scalable Political Event Report Geoparsing in Big Data” 2018 IEEE International Conference on Big Data (BigData 2018). December 10–13, 2018, Seattle, WA, USA. doi:10.1109/ISI.2018.8587373
Brandt, Patrick T. (2018). “How we scaled our big data social science project with XSEDE / TACC”, presented at TACC Symposium for Texas Researchers (TACCSTER) at the University of Texas, Austin, TX, September 21, 2018.
Brandt, Patrick T., Vito D’Orazio, and Kate Hyoungah Kim. (2018). “Real Time Event Data and R-Package.” Annual Meeting of the American Political Science Association, Boston, MA. August 2018.
Brandt, Patrick T., Vito D’Orazio, and Jared Looper. (2018). “Comparing Big Event Datasets.” Conference of the Society for Political Methodology. Provo, UT. July 2018.
Bagozzi, Benjamin, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Medizabal, and Carly Potz-Nielsen. (2018). “The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data” Political Science Research and Methods. doi:doi:10.1017/psrm.2018.11
Bagozzi, Benjamin, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Medizabal, and Carly Potz-Nielsen. (2018). “The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data” Political Science Research and Methods. doi:doi:10.1017/psrm.2018.11
Salam, Sayeed, Patrick T. Brandt, Jennifer S. Holmes, Latifur Khan, (2018). “Distributed Framework for Political Event Coding in Real-Time,” 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2018, pp. 266-273. doi:10.1109/EECS.2018.00057.
Imani, Maryam Bahojb, Swarup Chandra, Samuel Ma, Latifur Khan, Bhavani Thuraisingham. (2017). "Focus Location Extraction from Political News Reports with Bias Correction”. IEEE International Conference on Big Data (BIGDATA) 10.1109/BigData.2017.8258141
Soliamani, Mohiuddin, Latifur Khan, Sayeed Salaam, Vito D’Orazio, Patrick T. Brandt. (2017). “Automatic Political Actor Recommendation In Real-time”. International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) 2017. https://doi.org/10.1007/978-3-319-60240-0_42
Brandt, Patrick T., Benjamin E. Bagozzi, Vito D’Orazio, Latifur Khan, and Yang Gao. (2017). “The Automated Discovery of Protest Stories From Text”, presented at the Democracy, the State and Protest Conference and Workshop at the Mershon Center for International Security Studies, The Ohio State University, Columbus, Ohio, May 11-12, 2017.
Solaimani, Mohiuddin, Salam Sayeed, Latifur Khan, Patrick T. Brandt and Vito D’Orazio, (2017). “Re-PAIR: Recommend political actors in real-time from news websites,” IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 1333-1340.
Solaimani, Mohiuddin, Sayeed Salam, Ahmad M. Mustafa, Latifur Khan, Patrick T. Brandt, and Bhavani Thuraisingham. (2016). “Near Real-Time Atrocity Event Coding”, IEEE Intelligence and Security Informatics (ISI) 2016, Tucson, Arizona USA, September 28-30, 2016. doi:https://www.researchgate.net/publication/307135171
Solaimani, Mohiuddin, Rajeevardhan Gopalan, Latifur Khan, Patrick T. Brandt, and Bhavani Thuraisingham. (2016). “Spark-based Political Event Coding”, IEEE BigdataService, Oxford, UK. doi:10.1109/BigDataService.2016.30
Brandt, Patrick T. (2016). “Generating Political Event Data in Near Real Time: Modernizing Political Event Data Collection and Use.” Political Data Science Conference, Washington University, St. Louis, May 12-13, 2016.