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Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Kleptotrace-micro-dataset

Authors: Koletsis, Panagiotis; Gemos, Panagiotis; Chronis, Christos; Varlamis, Iraklis; Efthymiou, Vasileios; Papadopoulos, Georgios;

Kleptotrace-micro-dataset

Abstract

This micro-benchmark dataset was made for evaluation of the proposed pipeline in Koletsis et al. Entity Extraction from High-Level CorruptionSchemes via Large Language Models. BDA4FCT@IEEE Big Data 2024. Also available at https://arxiv.org/abs/2409.13704 This dataset comprises 15 articles, totaling 441 sentences, focused on topics related to financial corruption. It includes 2 lists of individuals and organizations mentioned within these articles.

The research leading to these results has received funding from the European Union’s Internal Security Fund under grant agreement No 101103298 (KLEPTOTRACE). This publication reflects only the authors’ views. The European Commission is not responsible for any use that may be made of the information it contains. 

Related Organizations
Keywords

Organization Identification, NER, Financial Corruption, Individual Identification, Name entity recognition

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average