{"id":"https://openalex.org/W4406459709","doi":"https://doi.org/10.1109/bigdata62323.2024.10824994","title":"Entity Extraction from High-Level Corruption Schemes via Large Language Models","display_name":"Entity Extraction from High-Level Corruption Schemes via Large Language Models","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459709","doi":"https://doi.org/10.1109/bigdata62323.2024.10824994"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10824994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10824994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114402359","display_name":"Panagiotis Koletsis","orcid":null},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Koletsis","raw_affiliation_strings":["Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114402360","display_name":"Panagiotis-Konstantinos Gemos","orcid":null},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis-Konstantinos Gemos","raw_affiliation_strings":["Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066444298","display_name":"Christos Chronis","orcid":"https://orcid.org/0000-0002-2768-7119"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Chronis","raw_affiliation_strings":["Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056484904","display_name":"Iraklis Varlamis","orcid":"https://orcid.org/0000-0002-0876-8167"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iraklis Varlamis","raw_affiliation_strings":["Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073440687","display_name":"Vasilis Efthymiou","orcid":"https://orcid.org/0000-0002-0683-030X"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasilis Efthymiou","raw_affiliation_strings":["Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065554248","display_name":"Georgios Th. Papadopoulos","orcid":"https://orcid.org/0000-0003-1686-421X"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Th. Papadopoulos","raw_affiliation_strings":["Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens,Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32762134"],"apc_list":null,"apc_paid":null,"fwci":0.7112,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73839962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2753","last_page":"2761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7389211654663086},{"id":"https://openalex.org/keywords/language-change","display_name":"Language change","score":0.6071814894676208},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5119041204452515},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4595988392829895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3967639207839966},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22193819284439087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389211654663086},{"id":"https://openalex.org/C2780027415","wikidata":"https://www.wikidata.org/wiki/Q524648","display_name":"Language change","level":2,"score":0.6071814894676208},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5119041204452515},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4595988392829895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3967639207839966},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22193819284439087},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10824994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10824994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1546425147","https://openalex.org/W2772210105","https://openalex.org/W2880875857","https://openalex.org/W2891382937","https://openalex.org/W2941987647","https://openalex.org/W2977178908","https://openalex.org/W3035101152","https://openalex.org/W3083001966","https://openalex.org/W3093186795","https://openalex.org/W3104415840","https://openalex.org/W3123942215","https://openalex.org/W3177049011","https://openalex.org/W4205471456","https://openalex.org/W4300485781","https://openalex.org/W4361866125","https://openalex.org/W4382998379","https://openalex.org/W4384455894","https://openalex.org/W4385245566","https://openalex.org/W4387929411","https://openalex.org/W4391904238","https://openalex.org/W4392702637","https://openalex.org/W4400529373","https://openalex.org/W4400992839","https://openalex.org/W4401044113","https://openalex.org/W4404782964","https://openalex.org/W6739901393","https://openalex.org/W6752788575","https://openalex.org/W6767182473","https://openalex.org/W6787707652","https://openalex.org/W6848909144","https://openalex.org/W6850820320","https://openalex.org/W6857505373","https://openalex.org/W6981738922"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"rise":[1],"of":[2,38,47,141,152,188],"financial":[3],"crime":[4],"that":[5,50,59,76,92,166],"has":[6,12],"been":[7],"observed":[8],"in":[9,40,85,94,110],"recent":[10],"years":[11],"created":[13],"an":[14,90],"increasing":[15],"concern":[16],"around":[17],"the":[18,36,138,150,167,173,186,189],"topic":[19],"and":[20,24,28,56,74,79,81,88,108,133],"many":[21],"people,":[22],"organizations":[23,109],"governments":[25],"are":[26,99,131,144],"more":[27,29],"frequently":[30],"trying":[31],"to":[32,54,61,105,148],"combat":[33],"it.":[34],"Despite":[35],"increase":[37],"interest":[39],"this":[41,103],"area,":[42],"there":[43],"is":[44,163,176],"a":[45,68,156,179],"lack":[46],"specialized":[48],"datasets":[49],"can":[51],"be":[52],"used":[53,181],"train":[55],"evaluate":[57],"works":[58],"try":[60],"tackle":[62],"those":[63],"problems.":[64],"This":[65],"article":[66],"proposes":[67],"new":[69],"micro-benchmark":[70],"dataset":[71],"for":[72],"algorithms":[73],"models":[75],"identify":[77,106],"individuals":[78,107],"organizations,":[80],"their":[82],"multiple":[83],"writings,":[84],"news":[86],"articles,":[87],"presents":[89],"approach":[91,175],"assists":[93],"its":[95],"creation.":[96],"Experimental":[97],"efforts":[98],"also":[100],"reported,":[101],"using":[102,113],"dataset,":[104],"financial-crime-related":[111],"articles":[112],"various":[114,134],"low-billion":[115],"parameter":[116],"Large":[117],"Language":[118],"Models":[119],"(LLMs).":[120],"For":[121],"these":[122],"experiments,":[123],"standard":[124],"metrics":[125],"(Accuracy,":[126],"Precision,":[127],"Recall,":[128],"F1":[129],"Score)":[130],"reported":[132],"prompt":[135,142],"variants":[136],"comprising":[137],"best":[139],"practices":[140],"engineering":[143],"tested.":[145],"In":[146],"addition,":[147],"address":[149],"problem":[151],"ambiguous":[153],"entity":[154],"mentions,":[155],"simple,":[157],"yet":[158],"effective":[159],"LLM-based":[160],"disambiguation":[161],"method":[162],"proposed,":[164],"ensuring":[165],"evaluation":[168],"aligns":[169],"with":[170],"reality.":[171],"Finally,":[172],"proposed":[174,190],"compared":[177],"against":[178],"widely":[180],"stateof-the-art":[182],"open-source":[183],"baseline,":[184],"showing":[185],"superiority":[187],"method.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
