{"id":"https://openalex.org/W7166805448","doi":"https://doi.org/10.18653/v1/2026.acl-long.1322","title":"LGSA: Label Geometry Structuring and Aligning for Hierarchical Text Classification","display_name":"LGSA: Label Geometry Structuring and Aligning for Hierarchical Text Classification","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166805448","doi":"https://doi.org/10.18653/v1/2026.acl-long.1322"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.acl-long.1322","doi":"https://doi.org/10.18653/v1/2026.acl-long.1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1322","pdf_url":"https://aclanthology.org/2026.acl-long.1322.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.acl-long.1322.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139728445","display_name":"Shuai Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhang","raw_affiliation_strings":["School of Information Technology and Artificial Intelligence , Zhejiang University of Finance and Economics , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Artificial Intelligence , Zhejiang University of Finance and Economics , Hangzhou , China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133720770","display_name":"Weibo Xu","orcid":"https://orcid.org/0000-0002-1303-8353","observed_orcids":["https://orcid.org/0000-0002-1303-8353"]},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Xu","raw_affiliation_strings":["School of Information Technology and Artificial Intelligence , Zhejiang University of Finance and Economics , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Artificial Intelligence , Zhejiang University of Finance and Economics , Hangzhou , China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123205788","display_name":"Jiahao Nie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Nie","raw_affiliation_strings":["School of Information Technology and Artificial Intelligence , Zhejiang University of Finance and Economics , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Artificial Intelligence , Zhejiang University of Finance and Economics , Hangzhou , China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608033","display_name":"Kecheng Huang","orcid":"https://orcid.org/0009-0003-7204-0984","observed_orcids":["https://orcid.org/0009-0003-7204-0984"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kecheng Huang","raw_affiliation_strings":["Emerging AI Technology Co. Ltd. , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emerging AI Technology Co. Ltd. , Hangzhou , China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43382879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28654","last_page":"28665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.8901000022888184,"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":0.8901000022888184,"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":0.0778999999165535,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.026200000196695328,"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/hierarchical-text-classification","display_name":"hierarchical text classification","score":1.0},{"id":"https://openalex.org/keywords/label-hierarchy","display_name":"label hierarchy","score":0.7260000109672546},{"id":"https://openalex.org/keywords/label-embedding","display_name":"label embedding","score":0.8109999895095825},{"id":"https://openalex.org/keywords/orthogonal-frames","display_name":"orthogonal frames","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.6093999743461609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6000999808311462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386999845504761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3441999852657318},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2540000081062317},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.249099999666214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.1322","doi":"https://doi.org/10.18653/v1/2026.acl-long.1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1322","pdf_url":"https://aclanthology.org/2026.acl-long.1322.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.1322","doi":"https://doi.org/10.18653/v1/2026.acl-long.1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1322","pdf_url":"https://aclanthology.org/2026.acl-long.1322.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166805448.pdf","grobid_xml":"https://content.openalex.org/works/W7166805448.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388018399","https://openalex.org/W4391096351","https://openalex.org/W4402113804","https://openalex.org/W4390822939","https://openalex.org/W3035690777","https://openalex.org/W7134964438","https://openalex.org/W4389104633","https://openalex.org/W4411336807","https://openalex.org/W4415459622","https://openalex.org/W4416251494"],"abstract_inverted_index":{"Existing":[0],"hierarchical":[1,89,132],"text":[2],"classification":[3],"(HTC)":[4],"methods":[5],"typically":[6],"use":[7],"prompt":[8],"tuning":[9],"or":[10],"contrastive":[11],"learning":[12,33],"to":[13,24,35,101,108,121,141],"inject":[14],"the":[15,75,109,126,147,150],"label":[16,27,38,45,65,76,105,110,112,119,143,152],"hierarchy":[17,77],"into":[18,82],"a":[19,62,88,96,118,131,138],"model":[20,51,123,148],"as":[21,47,117,137],"prior":[22,81],"knowledge":[23],"implicitly":[25],"learn":[26],"embeddings":[28],"for":[29],"classification.However,":[30],"such":[31],"implicit":[32,80],"fails":[34],"accurately":[36],"reflect":[37],"geometry":[39,66,106,113,144],"(i.e.,":[40],"feature":[41],"spatial":[42],"distribution":[43],"of":[44],"embeddings),":[46],"it":[48],"does":[49],"not":[50],"hierarchy-aware":[52],"geometric":[53,90,133],"relations":[54],"among":[55],"labels.To":[56],"address":[57],"this":[58],"issue,":[59],"we":[60,86,128],"propose":[61,87,130],"novel":[63],"two-stage":[64],"structuring":[67,91],"and":[68],"aligning":[69,134],"framework,":[70],"termed":[71],"LGSA,":[72],"which":[73],"transforms":[74],"from":[78],"an":[79,83,103],"explicit":[84,104,151],"embedding.First,":[85],"(HGS)":[92],"module":[93,136],"that":[94,160],"leverages":[95],"general":[97],"orthogonal":[98],"frame":[99],"(GOF)":[100],"reconstruct":[102],"conforming":[107],"hierarchy.The":[111],"is":[114],"then":[115],"treated":[116],"prototype":[120],"guide":[122],"training.To":[124],"facilitate":[125],"guidance,":[127],"thereby":[129],"(HGA)":[135],"regularization":[139],"term":[140],"align":[142],"learned":[145],"by":[146],"with":[149],"prototype.Experiments":[153],"on":[154],"three":[155],"realworld":[156],"HTC":[157],"datasets":[158],"confirm":[159],"LGSA":[161],"consistently":[162],"outperforms":[163],"existing":[164],"state-of-the-art":[165],"methods.":[166]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2026-07-02T00:00:00"}
