Vito D'Orazio

Orcid: 0000-0003-4249-0768

According to our database1, Vito D'Orazio authored at least 25 papers between 2014 and 2024.

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Bibliography

2024
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty.
CoRR, 2024

Extractive Question Answering for Spanish and Arabic Political Text.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2024

Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT.
CoRR, 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, 2023

ConfliBERT-Spanish: A Pre-trained Spanish Language Model for Political Conflict and Violence.
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

2022
ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation.
Proceedings of the IEEE International Conference on Big Data, 2022

Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
An Ecosystem of Applications for Modeling Political Violence.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Data-Driven Time Series Forecasting for Social Studies Using Spatio-Temporal Graph Neural Networks.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

3M-Transformers for Event Coding on Organized Crime Domain.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Towards Evaluating Exploratory Model Building Process with AutoML Systems.
CoRR, 2020

HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Automatic Event Coding Framework for Spanish Political News Articles.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

2019
KateHyoung/UTDEventData: UTDEventData create 1.0.0.
Dataset, March, 2019

UTDEventData: An R package to access political event data.
J. Open Source Softw., 2019

Towards human-guided machine learning.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Modeling and Forecasting Armed Conflict: AutoML with Human-Guided Machine Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
TwoRavens for Event Data.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

2017
APART: Automatic Political Actor Recommendation in Real-time.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

RePAIR: Recommend political actors in real-time from news websites.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015
Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

2014
Statistical Modeling by Gesture: A graphical, Browser-based Statistical Interface for Data Repositories.
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014


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