Zobrazeno 1 - 10
of 57
pro vyhledávání: '"D’Orazio, Vito"'
Autor:
Brandt, Patrick T., Alsarra, Sultan, D`Orazio, Vito J., Heintze, Dagmar, Khan, Latifur, Meher, Shreyas, Osorio, Javier, Sianan, Marcus
Conflict scholars have used rule-based approaches to extract information about political violence from news reports and texts. Recent Natural Language Processing developments move beyond rigid rule-based approaches. We review our recent ConfliBERT la
Externí odkaz:
http://arxiv.org/abs/2412.15060
Autor:
Hegre, Håvard, Vesco, Paola, Colaresi, Michael, Vestby, Jonas, Timlick, Alexa, Kazmi, Noorain Syed, Becker, Friederike, Binetti, Marco, Bodentien, Tobias, Bohne, Tobias, Brandt, Patrick T., Chadefaux, Thomas, Drauz, Simon, Dworschak, Christoph, D'Orazio, Vito, Fritz, Cornelius, Frank, Hannah, Gleditsch, Kristian Skrede, Häffner, Sonja, Hofer, Martin, Klebe, Finn L., Macis, Luca, Malaga, Alexandra, Mehrl, Marius, Metternich, Nils W., Mittermaier, Daniel, Muchlinski, David, Mueller, Hannes, Oswald, Christian, Pisano, Paola, Randahl, David, Rauh, Christopher, Rüter, Lotta, Schincariol, Thomas, Seimon, Benjamin, Siletti, Elena, Tagliapietra, Marco, Thornhill, Chandler, Vegelius, Johan, Walterskirchen, Julian
This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated to the VIEWS units of analysis. It presents the format of the contrib
Externí odkaz:
http://arxiv.org/abs/2407.11045
Autor:
Hu, Yibo, Parolin, Erick Skorupa, Khan, Latifur, Brandt, Patrick T., Osorio, Javier, D'Orazio, Vito J.
Is it possible accurately classify political relations within evolving event ontologies without extensive annotations? This study investigates zero-shot learning methods that use expert knowledge from existing annotation codebook, and evaluates the p
Externí odkaz:
http://arxiv.org/abs/2308.07876
Autor:
Hong, Sungsoo Ray, Castelo, Sonia, D'Orazio, Vito, Benthune, Christopher, Santos, Aecio, Langevin, Scott, Jonker, David, Bertini, Enrico, Freire, Juliana
The use of Automated Machine Learning (AutoML) systems are highly open-ended and exploratory. While rigorously evaluating how end-users interact with AutoML is crucial, establishing a robust evaluation methodology for such exploratory systems is chal
Externí odkaz:
http://arxiv.org/abs/2009.00449
Autor:
Boutton, Andrew, D’Orazio, Vito
Publikováno v:
Journal of Peace Research, 2020 Mar 01. 57(2), 312-328.
Externí odkaz:
https://www.jstor.org/stable/48669968
Autor:
D'Orazio, Vito1 (AUTHOR), Lin, Yu2 (AUTHOR)
Publikováno v:
International Interactions. Jul/Aug2022, Vol. 48 Issue 4, p714-738. 25p.
Autor:
Brandt, Patrick T.1 (AUTHOR), D'Orazio, Vito1 (AUTHOR), Khan, Latifur1 (AUTHOR), Li, Yi-Fan1 (AUTHOR), Osorio, Javier2 (AUTHOR), Sianan, Marcus1 (AUTHOR)
Publikováno v:
International Interactions. Jul/Aug2022, Vol. 48 Issue 4, p800-822. 23p.
Publikováno v:
Conflict Management and Peace Science, 2015 Apr 01. 32(2), 222-242.
Externí odkaz:
https://www.jstor.org/stable/26271386
Publikováno v:
Political Analysis, 2014 Apr 01. 22(2), 224-242.
Externí odkaz:
https://www.jstor.org/stable/24573223
The main goal of this project is to integrate and expand our end-to-end cyberinfrastructure for robust creation, validation, access, and analysis of political event data. Event data in this context refers to a machine-coded description of someone doi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ef9a1beffc18ecd476c311e01db0eb