{"id":"https://openalex.org/W7140172026","doi":"https://doi.org/10.1016/j.procs.2026.02.448","title":"Improving Audits in Public Procurement: An Approach to Recognition of Named Entities for Brazilian Official Gazettes","display_name":"Improving Audits in Public Procurement: An Approach to Recognition of Named Entities for Brazilian Official Gazettes","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140172026","doi":"https://doi.org/10.1016/j.procs.2026.02.448"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.02.448","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.448","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.02.448","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Eliane T\u00e2mara Lima Oliveira","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eliane T\u00e2mara Lima Oliveira","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pedro Manoel Herminio Alves","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro Manoel Herminio Alves","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Francisco Igor de Lima Mendes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco Igor de Lima Mendes","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eniedson Fabiano Pereira da Silva J\u00fanior","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eniedson Fabiano Pereira da Silva J\u00fanior","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andre Luiz Firmino Alves","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andre Luiz Firmino Alves","raw_affiliation_strings":["Federal Institute of Para\u00edba, Campina Grande, Para\u00edba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Institute of Para\u00edba, Campina Grande, Para\u00edba, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Cl\u00e1udio de Souza Baptista","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cl\u00e1udio de Souza Baptista","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Para\u00edba, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.630356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"278","issue":null,"first_page":"141","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.13169999420642853,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.13169999420642853,"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/T10953","display_name":"E-Government and Public Services","score":0.06769999861717224,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.05869999900460243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.761900007724762},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6456000208854675},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.6388000249862671},{"id":"https://openalex.org/keywords/government-procurement","display_name":"Government procurement","score":0.5285999774932861},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5059999823570251},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.48350000381469727},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3772999942302704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8650000095367432},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.761900007724762},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6456000208854675},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.6388000249862671},{"id":"https://openalex.org/C2779253866","wikidata":"https://www.wikidata.org/wiki/Q20665717","display_name":"Government procurement","level":3,"score":0.5285999774932861},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5059999823570251},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3409999907016754},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3278000056743622},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C80958533","wikidata":"https://www.wikidata.org/wiki/Q1047174","display_name":"Audit trail","level":3,"score":0.29109999537467957},{"id":"https://openalex.org/C170007233","wikidata":"https://www.wikidata.org/wiki/Q211017","display_name":"E-Government","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.27570000290870667},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2630999982357025},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.02.448","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.448","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.02.448","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.448","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6079556345939636}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1981552604","https://openalex.org/W2158143121","https://openalex.org/W2239490253","https://openalex.org/W2849364236","https://openalex.org/W2938929803","https://openalex.org/W3011594683","https://openalex.org/W3137156863","https://openalex.org/W4309356221","https://openalex.org/W4362591380","https://openalex.org/W4389617788","https://openalex.org/W4390795388","https://openalex.org/W4393002641","https://openalex.org/W4398186370","https://openalex.org/W4399702775","https://openalex.org/W4402986280","https://openalex.org/W4403645144"],"related_works":[],"abstract_inverted_index":{"Auditing":[0],"public":[1,62],"procurement":[2],"processes":[3,22],"is":[4,23,35],"essential":[5],"to":[6,40,75],"ensure":[7],"transparency":[8],"in":[9,79,114,123],"the":[10,49,83,87,92,110],"use":[11],"of":[12,51,86,89,91,112],"government":[13,124],"resources.":[14],"However,":[15],"identifying":[16],"and":[17,30,38,67,73,106,120],"validating":[18],"information":[19],"about":[20],"these":[21],"challenging,":[24],"as":[25],"it":[26],"may":[27],"contain":[28],"inconsistencies":[29],"require":[31],"manual":[32,118],"review,":[33],"which":[34],"both":[36],"time-consuming":[37],"prone":[39],"error.":[41],"To":[42],"address":[43],"this":[44],"issue,":[45],"our":[46],"paper":[47],"examines":[48],"application":[50],"Named":[52],"Entity":[53],"Recognition":[54],"(NER)":[55],"techniques":[56],"for":[57],"automating":[58,115],"data":[59],"extraction":[60],"from":[61,82],"procurement-related":[63],"texts.":[64],"We":[65],"developed":[66],"evaluated":[68],"several":[69],"models":[70,101],"using":[71],"encoders":[72],"decoders":[74],"identify":[76],"relevant":[77],"entities":[78],"unstructured":[80],"texts":[81],"Official":[84],"Gazette":[85],"Court":[88],"Auditors":[90],"Union.":[93],"Our":[94],"results":[95],"demonstrated":[96],"that":[97],"RoBERTa":[98],"outperformed":[99],"other":[100],"when":[102],"combined":[103],"with":[104],"sampling":[105],"validation":[107],"techniques,":[108],"highlighting":[109],"effectiveness":[111],"NER":[113],"audits,":[116],"reducing":[117],"effort,":[119],"improving":[121],"accuracy":[122],"oversight.":[125]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}
