{"id":"https://openalex.org/W4224308858","doi":"https://doi.org/10.1145/3485447.3511943","title":"QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations","display_name":"QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224308858","doi":"https://doi.org/10.1145/3485447.3511943"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3511943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3511943","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","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/A5073554817","display_name":"Suyuchen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Suyuchen Wang","raw_affiliation_strings":["D\u00e9partement d'informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement d'informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059804502","display_name":"Ruihui Zhao","orcid":"https://orcid.org/0000-0001-8070-5008"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihui Zhao","raw_affiliation_strings":["Tencent Jarvis Lab, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Lab, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100691221","display_name":"Bang Liu","orcid":"https://orcid.org/0000-0002-7147-0339"},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bang Liu","raw_affiliation_strings":["D\u00e9partement d'informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement d'informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073554817"],"corresponding_institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"],"apc_list":null,"apc_paid":null,"fwci":3.082,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92210858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1008","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9983999729156494,"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/taxonomy","display_name":"Taxonomy (biology)","score":0.7899610996246338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597671389579773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37400197982788086},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3549165725708008},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3467899262905121},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1314372420310974},{"id":"https://openalex.org/keywords/zoology","display_name":"Zoology","score":0.1306954026222229}],"concepts":[{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7899610996246338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597671389579773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37400197982788086},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3549165725708008},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3467899262905121},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1314372420310974},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"score":0.1306954026222229}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3511943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3511943","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W90362830","https://openalex.org/W2068737686","https://openalex.org/W2098611338","https://openalex.org/W2138605095","https://openalex.org/W2144108169","https://openalex.org/W2164480198","https://openalex.org/W2473007590","https://openalex.org/W2595551253","https://openalex.org/W2595918108","https://openalex.org/W2804796012","https://openalex.org/W2809189384","https://openalex.org/W2883559670","https://openalex.org/W2907607062","https://openalex.org/W2912144401","https://openalex.org/W2944400536","https://openalex.org/W2946532448","https://openalex.org/W2962909572","https://openalex.org/W2962958486","https://openalex.org/W2963173796","https://openalex.org/W2981644727","https://openalex.org/W2999905431","https://openalex.org/W3015148890","https://openalex.org/W3023960840","https://openalex.org/W3035000544","https://openalex.org/W3100195825","https://openalex.org/W3101971470","https://openalex.org/W3152722128","https://openalex.org/W3168349005","https://openalex.org/W3173065403","https://openalex.org/W3176459892"],"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":{"Taxonomy":[0],"is":[1,111],"a":[2,9,22,35,112,117,127,142],"fundamental":[3],"type":[4],"of":[5,12,37,106,210,233],"knowledge":[6],"graph":[7],"for":[8,95,163,219],"wide":[10],"range":[11],"web":[13],"applications":[14],"like":[15],"searching":[16],"and":[17,40,53,62,72,83,155,160,174,182,201,208,215,228],"recommendation":[18],"systems.":[19],"To":[20,130],"keep":[21],"taxonomy":[23,31,45,144],"automatically":[24],"updated":[25],"with":[26,46,198],"the":[27,30,43,47,65,69,73,79,96,103,107,122,132,137,180,184,206,217,230,234],"latest":[28,97],"concepts,":[29],"completion":[32,145],"task":[33],"matches":[34],"pair":[36],"proper":[38],"hypernym":[39],"hyponym":[41,119],"in":[42,87,195],"original":[44],"new":[48,70,123,231],"concept":[49,71,124],"as":[50,60,116,153],"its":[51],"parent":[52],"child.":[54],"Previous":[55],"solutions":[56],"utilize":[57],"term":[58,90,151,202],"embeddings":[59,91],"input":[61],"only":[63],"evaluate":[64],"parent-child":[66,173],"relations":[67,176],"between":[68],"hypernym-hyponym":[74],"pair.":[75],"Such":[76],"methods":[77,227],"ignore":[78],"important":[80],"sibling":[81,175],"relations,":[82],"are":[84,92],"not":[85,93],"applicable":[86],"reality":[88],"since":[89],"available":[94],"concepts.":[98],"They":[99],"also":[100],"suffer":[101],"from":[102],"relational":[104],"noise":[105,185],"\u201cpseudo-leaf\u201d":[108],"node,":[109],"which":[110,223],"null":[113],"node":[114],"acting":[115],"node\u2019s":[118],"to":[120,125,177],"enable":[121],"be":[126],"leaf":[128],"node.":[129],"tackle":[131],"above":[133],"drawbacks,":[134],"we":[135],"propose":[136],"Quadruple":[138],"Evaluation":[139],"Network":[140],"(QEN),":[141],"novel":[143],"framework":[146],"that":[147],"utilizes":[148],"easily":[149],"accessible":[150],"descriptions":[152],"input,":[154],"applies":[156],"pretrained":[157],"language":[158],"model":[159],"code":[161],"attention":[162],"accurate":[164],"inference":[165],"while":[166],"reducing":[167],"online":[168],"computation.":[169],"QEN":[170,211],"evaluates":[171],"both":[172,178],"enhance":[179],"accuracy":[181],"reduce":[183],"brought":[186],"by":[187],"pseudo-leaf.":[188],"Extensive":[189],"experiments":[190],"on":[191,212],"three":[192],"real-world":[193],"datasets":[194],"different":[196,199],"domains":[197],"sizes":[200],"description":[203],"sources":[204],"prove":[205],"effectiveness":[207],"robustness":[209],"overall":[213],"performance":[214,218],"especially":[216],"adding":[220],"non-leaf":[221],"nodes,":[222],"largely":[224],"surpasses":[225],"previous":[226],"achieves":[229],"state-of-the-art":[232],"task.1":[235]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
