{"id":"https://openalex.org/W4393168550","doi":"https://doi.org/10.23919/icact60172.2024.10471992","title":"Multi-Class Document Classification using LayoutLMv1 and V2","display_name":"Multi-Class Document Classification using LayoutLMv1 and V2","publication_year":2024,"publication_date":"2024-02-04","ids":{"openalex":"https://openalex.org/W4393168550","doi":"https://doi.org/10.23919/icact60172.2024.10471992"},"language":"en","primary_location":{"id":"doi:10.23919/icact60172.2024.10471992","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact60172.2024.10471992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 26th International Conference on Advanced Communications Technology (ICACT)","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/A5026451164","display_name":"Kounen Fathima","orcid":null},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kounen Fathima","raw_affiliation_strings":["Inje University,Department of Digital Anti-Aging Healthcare,Gimhae,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inje University,Department of Digital Anti-Aging Healthcare,Gimhae,South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034925484","display_name":"Ali Athar","orcid":"https://orcid.org/0000-0002-2331-7663"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ali Athar","raw_affiliation_strings":["Inje University,Department of Digital Anti-Aging Healthcare,Gimhae,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inje University,Department of Digital Anti-Aging Healthcare,Gimhae,South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102020002","display_name":"Hee\u2010Cheol Kim","orcid":"https://orcid.org/0000-0002-5399-7647"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hee-Cheol Kim","raw_affiliation_strings":["Inje University,Department of Digital Anti-Aging Healthcare,Gimhae,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inje University,Department of Digital Anti-Aging Healthcare,Gimhae,South Korea","institution_ids":["https://openalex.org/I104338594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I104338594"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.8014000058174133,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.8014000058174133,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.7856000065803528,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.7307000160217285,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/class","display_name":"Class (philosophy)","score":0.6537352800369263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446094512939453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4600517451763153},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4006742537021637},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36460280418395996}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6537352800369263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446094512939453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4600517451763153},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4006742537021637},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36460280418395996}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact60172.2024.10471992","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact60172.2024.10471992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 26th International Conference on Advanced Communications Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2962772269","https://openalex.org/W2996480099","https://openalex.org/W2997154779","https://openalex.org/W3104953317","https://openalex.org/W3176664887","https://openalex.org/W3176851559","https://openalex.org/W4226020328","https://openalex.org/W4226345864","https://openalex.org/W4312233877","https://openalex.org/W4390872501","https://openalex.org/W4390874708"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0,47],"the":[1,30,55,77,84,99,114,135,167,171,179,183],"age":[2],"of":[3,32,54,66,69,76,102,126,137,157,169],"information":[4,9,41],"explosion,":[5],"efficient":[6],"and":[7,23,109,117,131,148,163,177,189],"accurate":[8],"retrieval":[10],"has":[11,28,152],"become":[12],"a":[13,52,89,123,154],"pivotal":[14,155],"task":[15],"across":[16],"numerous":[17],"domains,":[18],"from":[19,42],"finance":[20],"to":[21,39,92,133,146],"healthcare":[22],"beyond.":[24],"The":[25],"LayoutLM":[26],"model":[27],"enhanced":[29],"capabilities":[31],"existing":[33],"NLP":[34],"techniques":[35],"by":[36],"enabling":[37],"them":[38],"extract":[40],"complexly":[43],"structured":[44],"documents":[45,127,172],"automatically.":[46],"this":[48,80],"study,":[49],"we":[50],"employ":[51],"subset":[53,81],"RVL-CDIP":[56],"(Ryerson":[57],"Vision":[58],"Lab":[59],"Complex":[60],"Document":[61],"Information":[62],"Processing)":[63],"dataset,":[64],"consisting":[65],"400,000":[67],"pictures":[68],"data":[70],"organized":[71],"into":[72,173],"16":[73,78],"groups.":[74],"Out":[75],"classes,":[79],"includes":[82],"all":[83],"classes":[85],"but":[86],"there":[87],"was":[88],"limit":[90],"set":[91],"200":[93],"images":[94,103,111],"per":[95],"class":[96],"which":[97],"makes":[98],"total":[100],"amount":[101],"as":[104],"3200.":[105],"Accordingly,":[106,182],"1920,":[107],"640,":[108],"640":[110],"make":[112],"up":[113],"training,":[115],"validation,":[116],"testing":[118],"sets.":[119],"This":[120],"dataset":[121],"is":[122],"rich":[124],"collection":[125],"with":[128,142],"diverse":[129],"structures":[130],"content":[132],"demonstrate":[134],"effectiveness":[136],"our":[138,158],"proposed":[139],"method.":[140],"LayoutLM,":[141],"its":[143],"unique":[144],"capability":[145],"analyze":[147],"understand":[149],"document":[150],"structures,":[151],"been":[153],"component":[156],"methodology.":[159],"We":[160],"utilized":[161],"LayoutLMv2":[162],"version":[164],"1":[165],"for":[166],"purpose":[168],"classifying":[170],"their":[174],"respective":[175],"categories":[176],"comparing":[178],"results":[180],"accordingly.":[181],"two":[184],"versions'":[185],"accuracies":[186],"are":[187],"80.94":[188],"68.75":[190],"percents.":[191]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}