{"id":"https://openalex.org/W4386968270","doi":"https://doi.org/10.3233/jifs-234151","title":"Addressing challenges in multi-label text classification: A joint attention and shared semantic space approach","display_name":"Addressing challenges in multi-label text classification: A joint attention and shared semantic space approach","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4386968270","doi":"https://doi.org/10.3233/jifs-234151"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-234151","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234151","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"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/A5007027946","display_name":"Zhen Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I1296452710","display_name":"Hunan International Economics University","ror":"https://ror.org/01551ga11","country_code":"CN","type":"education","lineage":["https://openalex.org/I1296452710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Gui","raw_affiliation_strings":["Hunan International Economics University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan International Economics University, Changsha, China","institution_ids":["https://openalex.org/I1296452710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007027946"],"corresponding_institution_ids":["https://openalex.org/I1296452710"],"apc_list":null,"apc_paid":null,"fwci":0.3173,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63147894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"45","issue":"6","first_page":"10649","last_page":"10659"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9900000095367432,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9879000186920166,"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":0.849617063999176},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.586669921875},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5601570010185242},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5585774183273315},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5565497279167175},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5494217872619629},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5149593949317932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49508967995643616},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44958120584487915},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4171147346496582},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3982834815979004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3495303690433502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.849617063999176},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.586669921875},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5601570010185242},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5585774183273315},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5565497279167175},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5494217872619629},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5149593949317932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49508967995643616},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44958120584487915},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4171147346496582},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3982834815979004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3495303690433502},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-234151","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234151","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1999954155","https://openalex.org/W2114315281","https://openalex.org/W2146241755","https://openalex.org/W2150102617","https://openalex.org/W2911379778","https://openalex.org/W3186290349","https://openalex.org/W4386968270","https://openalex.org/W6681875376"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W3045290893"],"abstract_inverted_index":{"The":[0,84,117,141],"task":[1],"of":[2,10,30,41,50,55,127,138],"multi-label":[3,66,176],"text":[4,67,177],"classification":[5,68,178],"involves":[6],"assigning":[7],"a":[8,14,64],"set":[9],"related":[11],"labels":[12,93,102,129,161],"to":[13,106,158,174],"given":[15],"document.":[16],"However,":[17],"there":[18],"are":[19],"three":[20],"main":[21],"problems":[22],"with":[23],"this":[24,169],"task.":[25],"Firstly,":[26],"the":[27,38,42,48,51,56,90,99,112,125,136,151,155,160],"joint":[28,78,85],"modeling":[29,139],"label-text":[31],"and":[32,80,94,110,132],"label-label":[33],"relationships":[34],"is":[35,45,58,75,172],"inadequate.":[36],"Secondly,":[37],"semantic":[39,82,120,130],"mining":[40],"label":[43,57],"itself":[44],"insufficient.":[46],"Lastly,":[47],"utilization":[49],"internal":[52],"structure":[53],"information":[54,114,131],"ignored.":[59],"To":[60],"address":[61],"these":[62],"issues,":[63],"new":[65],"method":[69,74,123,126,144,171],"has":[70],"been":[71],"proposed.":[72],"This":[73,104],"based":[76,145],"on":[77,146,150],"attention":[79,87],"shared":[81,119],"space.":[83],"multi-head":[86],"mechanism":[88],"models":[89],"relationship":[91,100],"between":[92,101,115],"documents":[95],"as":[96,98],"well":[97],"simultaneously.":[103],"helps":[105],"avoid":[107],"error":[108],"transmission":[109],"utilizes":[111],"interaction":[113],"them.":[116],"decouple":[118],"space":[121],"embedding":[122],"improves":[124],"using":[128],"reduces":[133],"deviation":[134],"in":[135,154,180],"phase":[137],"correlation.":[140],"hierarchical":[142],"hinting":[143],"prior":[147,152],"knowledge":[148,153],"relies":[149],"pre-trained":[156],"model":[157],"exploit":[159],"hierarchy":[162],"information.":[163],"Experimental":[164],"results":[165],"have":[166],"shown":[167],"that":[168],"proposed":[170],"superior":[173],"existing":[175],"methods":[179],"public":[181],"datasets.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}