{"id":"https://openalex.org/W4312318673","doi":"https://doi.org/10.1109/access.2022.3232493","title":"Research on Joint Extraction Method of Entity and Relation Triples Based on Hierarchical Cascade Labeling","display_name":"Research on Joint Extraction Method of Entity and Relation Triples Based on Hierarchical Cascade Labeling","publication_year":2022,"publication_date":"2022-12-26","ids":{"openalex":"https://openalex.org/W4312318673","doi":"https://doi.org/10.1109/access.2022.3232493"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3232493","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3232493","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09999363.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09999363.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024487112","display_name":"Yibo Liu","orcid":"https://orcid.org/0000-0002-3589-699X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Liu","raw_affiliation_strings":["College of Information and Communication, National University of Defense Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3589-699X","affiliations":[{"raw_affiliation_string":"College of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034468581","display_name":"Feng Wen","orcid":"https://orcid.org/0000-0001-7536-638X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wen","raw_affiliation_strings":["College of Information and Communication, National University of Defense Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019305155","display_name":"Teng Zong","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Zong","raw_affiliation_strings":["College of Information and Communication, National University of Defense Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045741989","display_name":"Taowei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taowei Li","raw_affiliation_strings":["College of Information and Communication, National University of Defense Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8621,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76777288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"9789","last_page":"9798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/cascade","display_name":"Cascade","score":0.7807788848876953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266063690185547},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6682672500610352},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.647108793258667},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5837424397468567},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4892265796661377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4768325388431549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40192002058029175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.359060138463974},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12426060438156128},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07133853435516357}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7807788848876953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266063690185547},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6682672500610352},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.647108793258667},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5837424397468567},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4892265796661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4768325388431549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40192002058029175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.359060138463974},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12426060438156128},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07133853435516357},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3232493","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3232493","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09999363.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:65af57e3e76149f3bb761e75f34a102d","is_oa":true,"landing_page_url":"https://doaj.org/article/65af57e3e76149f3bb761e75f34a102d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 9789-9798 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3232493","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3232493","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/09999363.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2570225071","display_name":null,"funder_award_id":"62102423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312318673.pdf","grobid_xml":"https://content.openalex.org/works/W4312318673.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1998399571","https://openalex.org/W2100495367","https://openalex.org/W2163915185","https://openalex.org/W2577211566","https://openalex.org/W2587809655","https://openalex.org/W2741956709","https://openalex.org/W2748160615","https://openalex.org/W2763401128","https://openalex.org/W2808142148","https://openalex.org/W2904442979","https://openalex.org/W2905462022","https://openalex.org/W2905524128","https://openalex.org/W2946308046","https://openalex.org/W2951274974","https://openalex.org/W2953326415","https://openalex.org/W2962913831","https://openalex.org/W2963718112","https://openalex.org/W2964167098","https://openalex.org/W2965831155","https://openalex.org/W2981662607","https://openalex.org/W2982562461","https://openalex.org/W2985875671","https://openalex.org/W2998385486","https://openalex.org/W3000434652","https://openalex.org/W3002472320","https://openalex.org/W3008492895","https://openalex.org/W3017774323","https://openalex.org/W3027012100","https://openalex.org/W3034617555","https://openalex.org/W3034902017","https://openalex.org/W3035219457","https://openalex.org/W3084874487","https://openalex.org/W3098980613","https://openalex.org/W3105063288","https://openalex.org/W4226416422","https://openalex.org/W4283361841","https://openalex.org/W4385245566","https://openalex.org/W6679781796","https://openalex.org/W6749534794","https://openalex.org/W6764679260","https://openalex.org/W6766673545","https://openalex.org/W6767498107","https://openalex.org/W6775748897","https://openalex.org/W6791144675","https://openalex.org/W6845154386"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W4392969631","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W4221160509","https://openalex.org/W2547211086","https://openalex.org/W2538200646","https://openalex.org/W1968988659","https://openalex.org/W2888033806"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"research":[3],"field":[4],"of":[5,21,34,74,78,91,150],"artificial":[6],"intelligence,":[7],"knowledge":[8,23],"graph":[9],"develops":[10],"rapidly,":[11],"and":[12,41,59,72,80,105,127,134,146],"triplet":[13,129],"extraction":[14,28,40,44,50,89,130],"is":[15,109],"the":[16,19,32,38,43,47,54,70,75,106,125,139,142,147,151],"key":[17],"to":[18],"construction":[20],"a":[22,86,97,119],"graph.":[24],"The":[25],"traditional":[26,48],"pipeline":[27,49],"method":[29,51,90],"will":[30],"bring":[31],"error":[33],"entity":[35,79,92,126],"recognition":[36],"into":[37],"relationship":[39,81],"affects":[42],"effect.":[45],"Besides,":[46],"cannot":[52],"solve":[53],"SEO":[55,133],"(Single":[56],"Entity":[57],"Overlap)":[58,63],"EPO":[60],"(Entity":[61],"Pair":[62],"problems.":[64],"Inspired":[65],"by":[66],"this,":[67],"we":[68,117],"compare":[69],"advantages":[71],"disadvantages":[73],"mainstream":[76],"methods":[77],"triples":[82,94],"joint":[83,88],"extraction,":[84],"propose":[85],"new":[87],"relation":[93],"based":[95,110],"on":[96,111,141],"hierarchical":[98],"cascade":[99],"labeling":[100],"model":[101,108,153],"(named":[102],"HCL":[103,107,152],"model),":[104],"multi":[112],"neural":[113],"network":[114],"cooperation.":[115],"Further,":[116],"construct":[118],"balanced":[120,143],"sampling":[121],"Chinese":[122],"dataset":[123],"about":[124],"relational":[128],"which":[131],"contains":[132],"EPO.":[135],"We":[136],"carry":[137],"out":[138],"experiments":[140],"data":[144],"set,":[145],"F1":[148],"value":[149],"reaches":[154],"65.4%":[155],"better":[156],"than":[157],"other":[158],"baseline":[159],"models.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}