| Conflibert: A pre-trained language model for political conflict and violence Y Hu, MS Hosseini, E Skorupa Parolin, J Osorio, L Khan, P Brandt, ... Association for Computational Linguistics, 2022 | 36 | 2022 |
| 3M-transformers for event coding on organized crime domain ES Parolin, L Khan, J Osorio, PT Brandt, V D'Orazio, J Holmes 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 11 | 2021 |
| Automated verbal-pattern extraction from political news articles using cameo event coding ontology ES Parolin, S Salam, L Khan, P Brandt, J Holmes 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2019 | 11 | 2019 |
| Multi-coped: A multilingual multi-task approach for coding political event data on conflict and mediation domain E Skorupa Parolin, MS Hosseini, Y Hu, L Khan, PT Brandt, J Osorio, ... Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 700-711, 2022 | 9 | 2022 |
| Hanke: Hierarchical attention networks for knowledge extraction in political science domain ES Parolin, L Khan, J Osorio, V D’Orazio, PT Brandt, J Holmes 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 9 | 2020 |
| Come-ke: A new transformers based approach for knowledge extraction in conflict and mediation domain ES Parolin, Y Hu, L Khan, J Osorio, PT Brandt, V D’Orazio 2021 IEEE International Conference on Big Data (Big Data), 1449-1459, 2021 | 5 | 2021 |
| Confli-t5: An autoprompt pipeline for conflict related text augmentation ES Parolin, Y Hu, L Khan, PT Brandt, J Osorio, V D’Orazio 2022 IEEE International Conference on Big Data (Big Data), 1906-1913, 2022 | 4 | 2022 |
| Controllable fake document infilling for cyber deception Y Hu, Y Lin, ES Parolin, L Khan, K Hamlen arXiv preprint arXiv:2210.09917, 2022 | 4 | 2022 |
| Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT Y Hu, ES Parolin, L Khan, PT Brandt, J Osorio, VJ D'Orazio arXiv preprint arXiv:2308.07876, 2023 | 1 | 2023 |
| Deep Learning Methods for Improving Event Extraction on Political and Social Science Studies E Skorupa Parolin The University of Texas at Dallas, 2022 | | 2022 |
| Deep Learning Methods for Improving Event Extraction on Political and Social Science Studies ES Parolin University of Texas at Dallas, 2022 | | 2022 |
| Asynchronous Teams for Solving the Loading and Routing Auto-Carrier Problem E Skorupa Parolin Universidade Federal do ABC, 2016 | | 2016 |
| Program Committee DSAA’2022 A Rodriguez, A Leite, AM Fard, A Chaturvedi, A Mondal, A Beer, ... | | |
Latifur KhanProfessor, University of Texas at DallasVerified email at utdallas.edu
