{"id":"https://openalex.org/W3154680497","doi":"https://doi.org/10.1109/tkde.2021.3074267","title":"Towards Fine-grained Concept Generation","display_name":"Towards Fine-grained Concept Generation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3154680497","doi":"https://doi.org/10.1109/tkde.2021.3074267","mag":"3154680497"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3074267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3074267","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5100783275","display_name":"Chenguang Li","orcid":"https://orcid.org/0000-0002-5287-5269"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenguang Li","raw_affiliation_strings":["Computer Science and Technology, Fudan University, 12478 Shanghai, Shanghai, China, (e-mail: cgli17@fudan.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Fudan University, 12478 Shanghai, Shanghai, China, (e-mail: cgli17@fudan.edu.cn)","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075507821","display_name":"Jiaqing Liang","orcid":"https://orcid.org/0000-0003-0670-5602"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Liang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, ShangHai, China, (e-mail: l.j.q.light@gmail.com)"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, ShangHai, China, (e-mail: l.j.q.light@gmail.com)","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090455375","display_name":"Yanghua Xiao","orcid":"https://orcid.org/0000-0001-8403-9591"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghua Xiao","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, ShangHai, China, (e-mail: shawyh@fudan.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, ShangHai, China, (e-mail: shawyh@fudan.edu.cn)","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103218236","display_name":"Haiyun Jiang","orcid":"https://orcid.org/0000-0001-9026-7515"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyun Jiang","raw_affiliation_strings":["Computer Science and Technology, Fudan University, Shanghai, Shanghai, China, (e-mail: 16110240020@fudan.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Fudan University, Shanghai, Shanghai, China, (e-mail: 16110240020@fudan.edu.cn)","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100783275"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71530553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.996399998664856,"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":0.8728338479995728},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5429853796958923},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4305480718612671},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4302249550819397},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41384193301200867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39720386266708374},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1183900237083435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8728338479995728},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5429853796958923},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4305480718612671},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4302249550819397},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41384193301200867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39720386266708374},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1183900237083435},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3074267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3074267","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W87289778","https://openalex.org/W102708294","https://openalex.org/W1603863883","https://openalex.org/W1965069660","https://openalex.org/W1980804566","https://openalex.org/W2022166150","https://openalex.org/W2029344051","https://openalex.org/W2068737686","https://openalex.org/W2077335893","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2100071287","https://openalex.org/W2138605095","https://openalex.org/W2142086811","https://openalex.org/W2151386575","https://openalex.org/W2194775991","https://openalex.org/W2508412229","https://openalex.org/W2510121203","https://openalex.org/W2515576947","https://openalex.org/W2532161561","https://openalex.org/W2561529111","https://openalex.org/W2572998653","https://openalex.org/W2620787630","https://openalex.org/W2767191453","https://openalex.org/W2775624460","https://openalex.org/W2805716368","https://openalex.org/W2929394430","https://openalex.org/W2946532448","https://openalex.org/W2947135768","https://openalex.org/W2951977278","https://openalex.org/W2952703784","https://openalex.org/W2962928968","https://openalex.org/W2963541420","https://openalex.org/W2963626623","https://openalex.org/W2966488597","https://openalex.org/W3100195825","https://openalex.org/W3114651185","https://openalex.org/W4294170691","https://openalex.org/W6603489203","https://openalex.org/W6681270334","https://openalex.org/W6682691769","https://openalex.org/W6713730441","https://openalex.org/W6730529904","https://openalex.org/W6732338005","https://openalex.org/W6746827724","https://openalex.org/W6752165291","https://openalex.org/W6764718591","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W4376623224","https://openalex.org/W2951359407","https://openalex.org/W2124566234","https://openalex.org/W3136979370","https://openalex.org/W2361979572","https://openalex.org/W2352015183"],"abstract_inverted_index":{"Constructing":[0],"large-scale":[1,127],"taxonomies":[2,18],"are":[3,29,133],"crucial":[4],"for":[5],"many":[6,26],"knowledge-rich":[7],"applications":[8],"that":[9],"need":[10],"concepts":[11,28,34,73],"to":[12,63,88,105,118,135],"better":[13],"understand":[14],"texts.":[15],"However,":[16],"current":[17],"suffer":[19],"from":[20,74,82],"the":[21,120,137,142],"scarcity":[22],"of":[23,60,66,71,96,122,141],"concepts.":[24,68,91],"Specifically,":[25,69],"fine-grained":[27,33,51,67,90,129],"missing,":[30],"while":[31],"these":[32],"play":[35],"important":[36],"roles":[37],"in":[38,144],"understanding":[39],"related":[40],"instances":[41],"more":[42],"deeply.":[43],"In":[44],"this":[45,97],"paper,":[46],"we":[47],"propose":[48],"an":[49],"unsupervised":[50],"concept":[52],"generation":[53,98],"framework":[54],"called":[55],"FGCGen,":[56,123],"which":[57],"takes":[58],"advantages":[59],"knowledge":[61,83],"bases":[62,84],"generate":[64,89],"mass":[65],"instead":[70],"extracting":[72],"corpus,":[75],"FGCGen":[76],"detects":[77],"entity":[78],"heads":[79],"and":[80,85,100,115,139],"modifiers":[81],"combines":[86],"them":[87],"We":[92,108],"identify":[93],"critical":[94],"challenges":[95],"process":[99],"employ":[101],"three":[102],"novel":[103],"modules":[104,143],"solve":[106],"them.":[107],"evaluate":[109],"proposed":[110],"methods":[111],"on":[112,125],"both":[113],"Chinese":[114],"English":[116],"datasets":[117],"show":[119],"strength":[121],"especially":[124],"constructing":[126],"high-quality":[128],"taxonomies.":[130],"Extensive":[131],"experiments":[132],"introduced":[134],"prove":[136],"efficiency":[138],"effectiveness":[140],"FGCGen.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
