{"id":"https://openalex.org/W4409671337","doi":"https://doi.org/10.1145/3696410.3714940","title":"TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision","display_name":"TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409671337","doi":"https://doi.org/10.1145/3696410.3714940"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714940","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714940","source":null,"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 ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714940","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062324293","display_name":"Yunyi Zhang","orcid":"https://orcid.org/0000-0001-9790-4855"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yunyi Zhang","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111140210","display_name":"Ruozhen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruozhen Yang","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092451043","display_name":"Xueqiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueqiang Xu","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rui Li","orcid":"https://orcid.org/0009-0007-4134-2153"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089818589","display_name":"Jinfeng Xiao","orcid":"https://orcid.org/0000-0002-1215-8038"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinfeng Xiao","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041327449","display_name":"Jiaming Shen","orcid":"https://orcid.org/0000-0002-0467-4956"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaming Shen","raw_affiliation_strings":["Google DeepMind, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5062324293"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":44.5198,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.99767518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2032","last_page":"2042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9973000288009644,"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":0.9969000220298767,"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":0.7124136686325073},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.6300689578056335},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5382823944091797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4293237626552582},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3304515779018402},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12840476632118225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124136686325073},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.6300689578056335},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5382823944091797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4293237626552582},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3304515779018402},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12840476632118225},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714940","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714940","source":null,"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 ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714940","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714940","source":null,"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 ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2063335192","display_name":null,"funder_award_id":"2019897","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3269309973","display_name":null,"funder_award_id":"2118329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3904442369","display_name":null,"funder_award_id":"HR0011-24-3-0325","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6445402324","display_name":null,"funder_award_id":"IIS-19-56151","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409671337.pdf","grobid_xml":"https://content.openalex.org/works/W4409671337.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1552847225","https://openalex.org/W2061873838","https://openalex.org/W2063862666","https://openalex.org/W2137165876","https://openalex.org/W2161344493","https://openalex.org/W2285986798","https://openalex.org/W2593560537","https://openalex.org/W2788667846","https://openalex.org/W2890931111","https://openalex.org/W2903908313","https://openalex.org/W2950037760","https://openalex.org/W2952230191","https://openalex.org/W2970641574","https://openalex.org/W2983965928","https://openalex.org/W3035690777","https://openalex.org/W3101606352","https://openalex.org/W3106109117","https://openalex.org/W3114232366","https://openalex.org/W3166913490","https://openalex.org/W3171416056","https://openalex.org/W3176676637","https://openalex.org/W3176770275","https://openalex.org/W3202082017","https://openalex.org/W4252076394","https://openalex.org/W4287889335","https://openalex.org/W4321480042","https://openalex.org/W4385570310","https://openalex.org/W4385571291","https://openalex.org/W4387848543","https://openalex.org/W4389518684","https://openalex.org/W4389520268","https://openalex.org/W4389520361","https://openalex.org/W4389523935","https://openalex.org/W4392969644","https://openalex.org/W4396736142","https://openalex.org/W6600339963","https://openalex.org/W6600586173"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Hierarchical":[0],"text":[1,22,72,138,155,178],"classification":[2,73,139],"aims":[3],"to":[4,59,120,237],"categorize":[5],"each":[6,86],"document":[7],"into":[8],"a":[9,14,19,47,75,129],"set":[10],"of":[11,50,78,85,185,240],"classes":[12],"in":[13,65,112,128,153],"label":[15,126,206],"taxonomy,":[16],"which":[17,54,180],"is":[18,55,118],"fundamental":[20],"web":[21,30],"mining":[23],"task":[24],"with":[25,74,201,242],"broad":[26],"applications":[27],"such":[28],"as":[29,88,160],"content":[31],"analysis":[32],"and":[33,57,124,147,174,187,209,215],"semantic":[34],"indexing.":[35],"Most":[36],"earlier":[37],"works":[38],"focus":[39],"on":[40,70,101],"fully":[41],"or":[42],"semi-supervised":[43],"methods":[44,140,217],"that":[45,157,226],"require":[46],"large":[48,93,123],"amount":[49,77],"human":[51,63],"annotated":[52],"data":[53,213],"costly":[56],"time-consuming":[58],"acquire.":[60],"To":[61,164],"alleviate":[62],"efforts,":[64],"this":[66,108],"paper,":[67],"we":[68,169],"work":[69],"hierarchical":[71,114,137,177,222],"minimal":[76],"supervision:":[79],"using":[80],"the":[81,89,113,122,132,143,149,154,166,182,198,221],"sole":[82],"class":[83],"name":[84],"node":[87],"only":[90,141],"supervision.":[91],"Recently,":[92],"language":[94],"models":[95],"(LLM)":[96],"have":[97],"shown":[98],"competitive":[99],"performance":[100,236],"various":[102],"tasks":[103],"through":[104],"zero-shot":[105,238],"prompting,":[106],"but":[107],"method":[109],"performs":[110],"poorly":[111],"setting":[115],"because":[116],"it":[117],"ineffective":[119],"include":[121],"structured":[125],"space":[127,207],"prompt.":[130],"On":[131],"other":[133],"hand,":[134],"previous":[135,231],"weakly-supervised":[136,176],"utilize":[142],"raw":[144,199],"taxonomy":[145,200],"skeleton":[146],"ignore":[148],"rich":[150],"information":[151],"hidden":[152],"corpus":[156],"can":[158,228],"serve":[159],"additional":[161],"class-indicative":[162,202],"features.":[163],"tackle":[165],"above":[167],"challenges,":[168],"propose":[170],"TELEClass,":[171],"<u>T</u>axonomy":[172],"<u>E</u>nrichment":[173],"<u>L</u>LM-<u>E</u>nhanced":[175],"<u>Class</u>ification,":[179],"combines":[181],"general":[183],"knowledge":[184],"LLMs":[186,241],"task-specific":[188],"features":[189,203],"mined":[190],"from":[191],"an":[192],"unlabeled":[193],"corpus.":[194],"TELEClass":[195,227],"automatically":[196],"enriches":[197],"for":[204,220],"better":[205],"understanding":[208],"utilizes":[210],"novel":[211],"LLM-based":[212],"annotation":[214],"generation":[216],"specifically":[218],"tailored":[219],"setting.":[223],"Experiments":[224],"show":[225],"significantly":[229],"outperform":[230],"baselines":[232],"while":[233],"achieving":[234],"comparable":[235],"prompting":[239],"drastically":[243],"less":[244],"inference":[245],"cost.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}