{"id":"https://openalex.org/W4391096351","doi":"https://doi.org/10.1109/bigdata59044.2023.10386495","title":"Label Hierarchy Alignment for Improved Hierarchical Text Classification","display_name":"Label Hierarchy Alignment for Improved Hierarchical Text Classification","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391096351","doi":"https://doi.org/10.1109/bigdata59044.2023.10386495"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386495","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5102847787","display_name":"Ashish Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashish Kumar","raw_affiliation_strings":["Indian Institute of Technology Roorkee,Department of Computer Science and Engineering,Roorkee,India","Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee,Department of Computer Science and Engineering,Roorkee,India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082753354","display_name":"Durga Toshniwal","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Durga Toshniwal","raw_affiliation_strings":["Indian Institute of Technology Roorkee,Department of Computer Science and Engineering,Roorkee,India","Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee,Department of Computer Science and Engineering,Roorkee,India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102847787"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.5231,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73570011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1174","last_page":"1179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973999857902527,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9958000183105469,"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/hierarchy","display_name":"Hierarchy","score":0.8418958783149719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7745394706726074},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.6673674583435059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6265897750854492},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6139634847640991},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43154022097587585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4275304675102234},{"id":"https://openalex.org/keywords/hierarchical-organization","display_name":"Hierarchical organization","score":0.411734402179718},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3373333811759949}],"concepts":[{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.8418958783149719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745394706726074},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6673674583435059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6265897750854492},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6139634847640991},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43154022097587585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4275304675102234},{"id":"https://openalex.org/C2780217385","wikidata":"https://www.wikidata.org/wiki/Q2389284","display_name":"Hierarchical organization","level":2,"score":0.411734402179718},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3373333811759949},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386495","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2063862666","https://openalex.org/W2150102617","https://openalex.org/W2607510315","https://openalex.org/W2759474451","https://openalex.org/W2887997457","https://openalex.org/W2890362944","https://openalex.org/W2913668833","https://openalex.org/W2970390610","https://openalex.org/W2971330564","https://openalex.org/W2983965928","https://openalex.org/W2995837271","https://openalex.org/W2997713239","https://openalex.org/W3035690777","https://openalex.org/W3102612524","https://openalex.org/W3166531985","https://openalex.org/W3176676637","https://openalex.org/W3197966474","https://openalex.org/W3211394146","https://openalex.org/W4221151676","https://openalex.org/W4293568373","https://openalex.org/W6681875376","https://openalex.org/W6736894310","https://openalex.org/W6752122265","https://openalex.org/W6754278344","https://openalex.org/W6780248173","https://openalex.org/W6804049574"],"related_works":["https://openalex.org/W2393528751","https://openalex.org/W2907076776","https://openalex.org/W2436132804","https://openalex.org/W1984236851","https://openalex.org/W2413364108","https://openalex.org/W3045702928","https://openalex.org/W2899379759","https://openalex.org/W2686470613","https://openalex.org/W2901037869","https://openalex.org/W3185300780"],"abstract_inverted_index":{"Effective":[0],"text":[1],"and":[2,32,116,168],"label":[3,23,53,59,73,85,93,106,119,127,150,158],"representations":[4,24,54,151],"are":[5],"crucial":[6],"for":[7],"accurate":[8],"predictions":[9],"in":[10,20,95],"Hierarchical":[11],"Text":[12],"Classification":[13],"(HTC).":[14],"However,":[15],"existing":[16],"methods":[17],"face":[18],"challenges":[19],"capturing":[21],"relevant":[22],"due":[25],"to":[26,56,79,91,112],"the":[27,33,57,89,98,122,126,137,157,164],"discrete":[28],"nature":[29],"of":[30,35],"labels":[31],"complexities":[34],"their":[36,134],"hierarchical":[37,58,99,138,144],"relationships.":[38],"To":[39],"address":[40],"these":[41],"challenges,":[42],"we":[43,64],"propose":[44],"Label":[45],"Hierarchy":[46],"Alignment":[47],"(LHA),":[48],"which":[49,75,108],"ensures":[50],"that":[51,152,180],"learned":[52],"conform":[55],"space.":[60],"In":[61],"this":[62],"paper,":[63],"present":[65],"two":[66,173],"LHA":[67,162,182],"approaches.":[68],"The":[69,101,176],"first":[70],"is":[71,104],"adversarial":[72,77],"alignment,":[74,107],"utilizes":[76],"learning":[78,111],"enforce":[80],"a":[81],"prior":[82],"distribution":[83],"on":[84,163,172],"embeddings.":[86],"This":[87,124],"guides":[88],"model":[90,167],"adjust":[92],"embeddings":[94,128],"accordance":[96],"with":[97,129,136,156],"structure.":[100,139],"second":[102],"approach":[103],"contrastive":[105,110],"uses":[109],"identify":[113],"semantic":[114,130],"similarities":[115],"differences":[117],"between":[118],"nodes":[120],"across":[121],"hierarchy.":[123,159],"enriches":[125],"depth,":[131],"thereby":[132],"enhancing":[133],"alignment":[135],"By":[140],"explicitly":[141],"addressing":[142],"various":[143],"aspects,":[145],"both":[146],"approaches":[147],"generate":[148],"refined":[149],"align":[153],"more":[154],"effectively":[155],"We":[160],"implemented":[161],"current":[165],"state-of-the-art":[166],"evaluated":[169],"its":[170],"performance":[171],"benchmark":[174],"datasets.":[175],"experiment":[177],"results":[178],"show":[179],"performing":[181],"improves":[183],"HTC":[184],"performance.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
