乐胖代购免代理版

{"id":"https://openalex.org/W4391249840","doi":"https://doi.org/10.1109/la-cci58595.2023.10409483","title":"Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents","display_name":"Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4391249840","doi":"https://doi.org/10.1109/la-cci58595.2023.10409483"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci58595.2023.10409483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","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/A5029949153","display_name":"Jo\u00e3o Mac\u00eado","orcid":"https://orcid.org/0000-0002-1320-5190"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Macedo","raw_affiliation_strings":["Universidade de Pernambuco,Escola Politécnica de Pernambuco,Recife,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade de Pernambuco,Escola Politécnica de Pernambuco,Recife,Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049490188","display_name":"Byron Leite Dantas Bezerra","orcid":"https://orcid.org/0000-0002-8327-9734"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Byron Bezerra","raw_affiliation_strings":["Universidade de Pernambuco,Escola Politécnica de Pernambuco,Recife,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade de Pernambuco,Escola Politécnica de Pernambuco,Recife,Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023998002","display_name":"Estanislau Lima","orcid":"https://orcid.org/0000-0002-8373-5357"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Estanislau Lima","raw_affiliation_strings":["Universidade de Pernambuco,Escola Politécnica de Pernambuco,Recife,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade de Pernambuco,Escola Politécnica de Pernambuco,Recife,Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074224688","display_name":"\u00c1lysson De S\u00e1 Soares.","orcid":"https://orcid.org/0000-0001-7696-3290"},"institutions":[],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alysson Soares","raw_affiliation_strings":["Pesquisa e Desenvolvimento Di2Win, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Pesquisa e Desenvolvimento Di2Win, Recife, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064839335","display_name":"Celso A. M. Lopes","orcid":"https://orcid.org/0000-0003-1356-5759"},"institutions":[],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Celso Lopes","raw_affiliation_strings":["Pesquisa e Desenvolvimento Di2Win, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Pesquisa e Desenvolvimento Di2Win, Recife, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086345001","display_name":"Cleber Zanchettin","orcid":"https://orcid.org/0000-0001-6421-9747"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cleber Zanchettin","raw_affiliation_strings":["Centro de Informática Universidade Federal de Pernambuco,Recife,Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Informática Universidade Federal de Pernambuco,Recife,Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9866,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9866,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9696,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.954,"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/invoice","display_name":"Invoice","score":0.6105836},{"id":"https://openalex.org/keywords/receipt","display_name":"Receipt","score":0.5309664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656348},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.61642814},{"id":"https://openalex.org/C2781456945","wikidata":"https://www.wikidata.org/wiki/Q190581","display_name":"Invoice","level":2,"score":0.6105836},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5327501},{"id":"https://openalex.org/C2778979077","wikidata":"https://www.wikidata.org/wiki/Q330190","display_name":"Receipt","level":2,"score":0.5309664},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4931423},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48403472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47086373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44348085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3849889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34768742},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17366984},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10619792},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10273588},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci58595.2023.10409483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1966382373","https://openalex.org/W2064675550","https://openalex.org/W2157317150","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2896457183","https://openalex.org/W2965373594","https://openalex.org/W2980282514","https://openalex.org/W2986619406","https://openalex.org/W2990138404","https://openalex.org/W3000758063","https://openalex.org/W3003484198","https://openalex.org/W3006883036","https://openalex.org/W3045882047","https://openalex.org/W3104953317","https://openalex.org/W3176851559","https://openalex.org/W3201693581","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3148326824","https://openalex.org/W3125363526","https://openalex.org/W2915320150","https://openalex.org/W2364011232","https://openalex.org/W2352792752","https://openalex.org/W2348360270","https://openalex.org/W2014638835","https://openalex.org/W1977344913","https://openalex.org/W1671466897","https://openalex.org/W1490898716"],"abstract_inverted_index":{"The":[0,66],"use":[1],"of":[2,57],"artificial":[3],"intelligence":[4],"to":[5,28],"extract":[6],"information":[7,16,50],"from":[8],"documents":[9,22],"is":[10],"essential":[11,25],"for":[12],"process":[13],"automation":[14],"and":[15,34,60,76,91],"mining.":[17],"In":[18,38],"this":[19,39],"context,":[20],"fiscal":[21],"are":[23,106],"one":[24],"target":[26],"due":[27],"their":[29],"high":[30],"volume,":[31],"variety,":[32],"complexity,":[33],"inconsistent":[35],"document":[36],"structure.":[37],"work,":[40],"we":[41],"perform":[42],"a":[43],"comparative":[44],"analysis":[45],"between":[46],"3":[47],"state-of-the-art":[48],"key":[49],"extraction":[51],"models.":[52],"We":[53],"assess":[54],"the":[55,71,82,87],"performance":[56,84],"LAMBERT,":[58,100],"LayoutLM,":[59],"LayoutLMv2":[61,80],"models":[62,67],"considering":[63],"different":[64],"metrics.":[65],"were":[68],"evaluated":[69],"on":[70],"CORD,":[72],"Brazilian":[73,77],"Invoice":[74],"Dataset,":[75],"Receipt":[78],"Datasets.":[79],"showed":[81],"best":[83],"but":[85,101],"also":[86],"slower":[88],"inference":[89],"time":[90],"bigger":[92],"model":[93],"size.":[94],"LayoutLM":[95],"performed":[96],"slight":[97],"better":[98],"than":[99],"in":[102],"most":[103],"scenarios":[104],"they":[105],"exchangeable":[107],"performance-wise.":[108]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391249840","counts_by_year":[],"updated_date":"2025-01-02T08:25:26.666333","created_date":"2024-01-27"}