{"id":"https://openalex.org/W4385595344","doi":"https://doi.org/10.1145/3573128.3609356","title":"Exploiting Label Dependencies for Multi-Label Document Classification Using Transformers","display_name":"Exploiting Label Dependencies for Multi-Label Document Classification Using Transformers","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385595344","doi":"https://doi.org/10.1145/3573128.3609356"},"language":"en","primary_location":{"id":"doi:10.1145/3573128.3609356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573128.3609356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Document Engineering 2023","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04222602v1/file/3573128.3609356.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043824111","display_name":"Haytame Fallah","orcid":"https://orcid.org/0009-0006-2474-1235"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Haytame Fallah","raw_affiliation_strings":["Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France, Hyperbios, Aix-en-Provence, France"],"affiliations":[{"raw_affiliation_string":"Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France, Hyperbios, Aix-en-Provence, France","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070020969","display_name":"Emmanuel Bruno","orcid":"https://orcid.org/0000-0001-5171-2268"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel Bruno","raw_affiliation_strings":["Universit\u00e9 de Toulon, Aix Marseille Univ, CNRS, LIS, Toulon, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulon, Aix Marseille Univ, CNRS, LIS, Toulon, France","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059940694","display_name":"Patrice Bellot","orcid":"https://orcid.org/0000-0001-8698-5055"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrice Bellot","raw_affiliation_strings":["Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France"],"affiliations":[{"raw_affiliation_string":"Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028041353","display_name":"\u00c9lisabeth Murisasco","orcid":"https://orcid.org/0009-0004-7241-8083"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elisabeth Murisasco","raw_affiliation_strings":["Universit\u00e9 de Toulon, Aix Marseille Univ, CNRS, LIS, Toulon, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulon, Aix Marseille Univ, CNRS, LIS, Toulon, France","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043824111"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I4210114274"],"apc_list":null,"apc_paid":null,"fwci":1.044,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81286536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9944999814033508,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.8398395776748657},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.6879627704620361},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5830292701721191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5808390378952026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49238765239715576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47859594225883484},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4447588324546814},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42674264311790466},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.42019063234329224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3716355860233307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8398395776748657},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6879627704620361},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5830292701721191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5808390378952026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49238765239715576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47859594225883484},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4447588324546814},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42674264311790466},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.42019063234329224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3716355860233307},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3573128.3609356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573128.3609356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Document Engineering 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04222602v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04222602","pdf_url":"https://hal.science/hal-04222602v1/file/3573128.3609356.pdf","source":{"id":"https://openalex.org/S4406922393","display_name":"HAL AMU","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DocEng '23: ACM Symposium on Document Engineering 2023, Aug 2023, Limerick, Ireland. pp.1-4, &#x27E8;10.1145/3573128.3609356&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04222602v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04222602","pdf_url":"https://hal.science/hal-04222602v1/file/3573128.3609356.pdf","source":{"id":"https://openalex.org/S4406922393","display_name":"HAL AMU","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DocEng '23: ACM Symposium on Document Engineering 2023, Aug 2023, Limerick, Ireland. pp.1-4, &#x27E8;10.1145/3573128.3609356&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385595344.pdf","grobid_xml":"https://content.openalex.org/works/W4385595344.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1968496402","https://openalex.org/W2052684427","https://openalex.org/W2129026672","https://openalex.org/W2150102617","https://openalex.org/W2964181345","https://openalex.org/W3011296786","https://openalex.org/W3102503200","https://openalex.org/W3201658153","https://openalex.org/W3212589311"],"related_works":["https://openalex.org/W3031069236","https://openalex.org/W4313203076","https://openalex.org/W2521012290","https://openalex.org/W4389115964","https://openalex.org/W3049000890","https://openalex.org/W4385339003","https://openalex.org/W3096211175","https://openalex.org/W2775531141","https://openalex.org/W3097314082","https://openalex.org/W3088383017"],"abstract_inverted_index":{"We":[0],"introduce":[1],"in":[2,24,44,58],"this":[3],"paper":[4],"a":[5,46,59,117,124,130,143],"new":[6,144],"approach":[7,107],"to":[8,49,71,75,82,101],"improve":[9],"deep":[10],"learning-based":[11],"architectures":[12],"for":[13,54],"multi-label":[14,26,133],"document":[15],"classification.":[16],"Dependencies":[17],"between":[18],"labels":[19,78,88],"are":[20,80,90],"an":[21],"essential":[22],"factor":[23],"the":[25,34,50,56,63,68,73,98,113],"context.":[27],"Our":[28,106,137],"proposed":[29,41,132],"strategy":[30],"takes":[31],"advantage":[32],"of":[33,119,126],"knowledge":[35],"extracted":[36],"from":[37],"label":[38,64,69,104],"co-occurrences.":[39],"The":[40],"method":[42,138],"consists":[43],"adding":[45],"regularization":[47],"term":[48],"loss":[51],"function":[52],"used":[53],"training":[55],"model,":[57],"way":[60],"that":[61,79,89],"incorporates":[62],"similarities":[65],"given":[66],"by":[67],"co-occurrences":[70],"encourage":[72],"model":[74,100],"jointly":[76],"predict":[77],"likely":[81],"co-occur,":[83],"and":[84,85,122,129],"not":[86],"consider":[87],"rarely":[91],"present":[92],"with":[93],"each":[94],"other.":[95],"This":[96],"allows":[97],"neural":[99],"better":[102],"capture":[103],"dependencies.":[105],"was":[108],"evaluated":[109],"on":[110,146],"three":[111,148],"datasets:":[112],"standard":[114],"AAPD":[115],"dataset,":[116],"corpus":[118],"scientific":[120],"abstracts":[121],"Reuters-21578,":[123],"collection":[125],"news":[127],"articles,":[128],"newly":[131],"dataset":[134],"called":[135],"arXiv-ACM.":[136],"demonstrates":[139],"improved":[140],"performance,":[141],"setting":[142],"state-of-the-art":[145],"all":[147],"datasets.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
