Use of Large Language Models for location detection on the example of the terrorism and extremism event database
This technical report discusses the potential use of Large Language Models for location detection with a focus on the JRC Terrorism and Extremism Database. The report highlights the current inaccuracies in the database's location detection algorithm, which uses adhoc created embeddings, struggles with contextual issues, and has difficulty with translated location names. These issues can lead to misclassified events, negatively impacting the quality of the tool. The report suggests exploring more accurate and sophisticated approaches, taking advantage of recent advancements in Artificial Intelligence, to increase the accuracy of the automated classification thus helping reducing human intervention.
BOSSO Francesco;
VALISA Jessica;
RUBERTO Stefano;
VALSAMOS Georgios;
SCHUMACHER Ralf;
LARCHER Martin;
2023-12-19
Publications Office of the European Union
JRC134961
978-92-68-09641-3 (online),
1831-9424 (online),
EUR 31745 EN,
OP KJ-NA-31-745-EN-N (online),
https://publications.jrc.ec.europa.eu/repository/handle/JRC134961,
10.2760/575493 (online),
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