{"id":"https://openalex.org/W4312837449","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892310","title":"A Simple Overlapping Relation Extraction Method Based on Dropout","display_name":"A Simple Overlapping Relation Extraction Method Based on Dropout","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312837449","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892310"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892310","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081474221","display_name":"Yiming Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Zhan","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Jian,China","Qilu University of Technology (Shandong Academy of Sciences), Jian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Jian,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jian, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047289309","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0001-7702-3348"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Jian,China","Qilu University of Technology (Shandong Academy of Sciences), Jian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Jian,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jian, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052741911","display_name":"Xiuhao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhao Zhao","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","institution_ids":["https://openalex.org/I4210158984"]},{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, China","institution_ids":["https://openalex.org/I4210158984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460272","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-3009-598X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Shandong Key Laboratory of Computer Networks,Jinan,China","Shandong Key Laboratory of Computer Networks, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Key Laboratory of Computer Networks,Jinan,China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"Shandong Key Laboratory of Computer Networks, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461265","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-7269-146X"},"institutions":[{"id":"https://openalex.org/I4210164792","display_name":"Everbright International (China)","ror":"https://ror.org/05tedyt08","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210164792"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Chen","raw_affiliation_strings":["Evay Info,Jinan,China","Evay Info, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Evay Info,Jinan,China","institution_ids":["https://openalex.org/I4210164792"]},{"raw_affiliation_string":"Evay Info, Jinan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3374,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57320631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11719","display_name":"Data Quality and Management","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.8394917845726013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428619265556335},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6974227428436279},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.6744306087493896},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6343661546707153},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5421117544174194},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4529326558113098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4252709448337555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3666911721229553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31998300552368164}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.8394917845726013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428619265556335},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6974227428436279},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6744306087493896},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6343661546707153},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5421117544174194},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4529326558113098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4252709448337555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3666911721229553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31998300552368164},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892310","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8522944871","display_name":null,"funder_award_id":"2018YFB1404500,2018YFB1404503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1551842868","https://openalex.org/W1604644367","https://openalex.org/W2132516856","https://openalex.org/W2133439966","https://openalex.org/W2134033474","https://openalex.org/W2162590473","https://openalex.org/W2250521169","https://openalex.org/W2251091211","https://openalex.org/W2578454709","https://openalex.org/W2739874095","https://openalex.org/W2759056771","https://openalex.org/W2798734500","https://openalex.org/W2808142148","https://openalex.org/W2896457183","https://openalex.org/W2949212908","https://openalex.org/W2964167098","https://openalex.org/W2970183140","https://openalex.org/W2996825178","https://openalex.org/W2997876626","https://openalex.org/W3015345022","https://openalex.org/W3034303554","https://openalex.org/W3034617555","https://openalex.org/W3095696617","https://openalex.org/W3103836967","https://openalex.org/W3116427155","https://openalex.org/W3167136668","https://openalex.org/W3173892794","https://openalex.org/W3177474367","https://openalex.org/W4385245566","https://openalex.org/W6679676213","https://openalex.org/W6679845031","https://openalex.org/W6691723933","https://openalex.org/W6732551439","https://openalex.org/W6739901393","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W2981341912","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W4221160509","https://openalex.org/W2547211086","https://openalex.org/W2538200646","https://openalex.org/W2888033806","https://openalex.org/W4385734297"],"abstract_inverted_index":{"The":[0,88],"relation":[1,40,71,79,81,115],"extraction":[2,31,41],"(RE)":[3],"task":[4],"of":[5,14,23],"knowledge":[6],"acquisition":[7],"aims":[8],"to":[9,52,83],"identify":[10],"all":[11],"specific":[12],"relations":[13],"two":[15],"entities.":[16],"Prior":[17],"works":[18],"had":[19],"proved":[20],"the":[21,28,93,110,113,119],"effectiveness":[22],"tagging":[24,72],"methods,":[25],"especially":[26],"on":[27,45,100,118],"overlapping":[29],"triple":[30,82],"problem.":[32],"In":[33],"this":[34],"work,":[35],"we":[36],"introduce":[37],"a":[38,49,64,76],"simple":[39],"method":[42],"(DropRel)":[43],"based":[44],"dropout.":[46],"We":[47,74],"propose":[48],"Dropout-Normalization":[50],"layer":[51],"generate":[53],"different":[54],"vectors":[55],"for":[56,67,80],"one":[57],"token":[58],"pair.":[59],"Our":[60],"model":[61,95],"also":[62],"provides":[63],"unified":[65],"perspective":[66],"entity":[68],"boundary":[69,85],"and":[70,102],"tasks.":[73],"define":[75],"novel":[77],"dependence":[78,114],"integrate":[84],"into":[86],"relation.":[87],"empirical":[89],"experiments":[90],"show":[91],"that":[92],"DropRel":[94,111],"outperforms":[96],"previous":[97],"state-of-the-art":[98],"methods":[99],"NYT":[101],"WEBNLG":[103,120],"datasets.":[104],"And":[105],"our":[106],"ablation":[107],"study":[108],"shows":[109],"without":[112],"is":[116],"better":[117],"dataset.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}