{"id":"https://openalex.org/W4396717371","doi":"https://doi.org/10.1007/s11063-024-11616-x","title":"A Parallel Model for Jointly Extracting Entities and Relations","display_name":"A Parallel Model for Jointly Extracting Entities and Relations","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396717371","doi":"https://doi.org/10.1007/s11063-024-11616-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11616-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11063-024-11616-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11616-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11616-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082372366","display_name":"Zuqin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuqin Chen","raw_affiliation_strings":["Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052775895","display_name":"Yujie Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zheng","raw_affiliation_strings":["Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113749442","display_name":"Jike Ge","orcid":"https://orcid.org/0000-0002-7329-2599"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jike Ge","raw_affiliation_strings":["Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101458168","display_name":"Wencheng Yu","orcid":"https://orcid.org/0000-0002-4292-5760"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencheng Yu","raw_affiliation_strings":["Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101897306","display_name":"Zining Wang","orcid":"https://orcid.org/0000-0002-4439-5679"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zining Wang","raw_affiliation_strings":["Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082372366"],"corresponding_institution_ids":["https://openalex.org/I168337820"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.486,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.695986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"56","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9962999820709229,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9957000017166138,"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":0.8226296901702881},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6565105319023132},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5370914340019226},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5218600034713745},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5186821222305298},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5027894973754883},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44877681136131287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.357101708650589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34088659286499023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226296901702881},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6565105319023132},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5370914340019226},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5218600034713745},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5186821222305298},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5027894973754883},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44877681136131287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.357101708650589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34088659286499023},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11616-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11063-024-11616-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11616-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11616-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11063-024-11616-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11616-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6540135396","display_name":null,"funder_award_id":"19XTQ010","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396717371.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W2251091211","https://openalex.org/W2739874095","https://openalex.org/W2774837955","https://openalex.org/W2798734500","https://openalex.org/W2799125718","https://openalex.org/W2808142148","https://openalex.org/W2890560945","https://openalex.org/W2949212908","https://openalex.org/W2951231735","https://openalex.org/W2970183140","https://openalex.org/W2996825178","https://openalex.org/W3004541293","https://openalex.org/W3012244339","https://openalex.org/W3034617555","https://openalex.org/W3095696617","https://openalex.org/W3099387504","https://openalex.org/W3116427155","https://openalex.org/W3133932469","https://openalex.org/W3167136668","https://openalex.org/W3173892794","https://openalex.org/W3175116650","https://openalex.org/W3177474367","https://openalex.org/W3178021032","https://openalex.org/W3199047918","https://openalex.org/W3202392183","https://openalex.org/W3213855194","https://openalex.org/W3214059944","https://openalex.org/W4205510048","https://openalex.org/W4212926911","https://openalex.org/W4283802662","https://openalex.org/W4285183816","https://openalex.org/W4285606305","https://openalex.org/W4312260487","https://openalex.org/W4313894051","https://openalex.org/W4363676972","https://openalex.org/W4367048240","https://openalex.org/W6600339963"],"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/W4385734297","https://openalex.org/W4221160509","https://openalex.org/W2547211086","https://openalex.org/W2538200646","https://openalex.org/W2888033806"],"abstract_inverted_index":{"Abstract":[0],"Extracting":[1],"relational":[2,135],"triples":[3,145],"from":[4],"a":[5,64],"piece":[6],"of":[7,77,118,139],"text":[8],"is":[9,45,142],"an":[10,46],"essential":[11],"task":[12],"in":[13,48,94,149],"knowledge":[14],"graph":[15],"construction.":[16],"However,":[17],"most":[18],"existing":[19],"methods":[20],"either":[21],"identify":[22],"entities":[23,70,84,111,126],"before":[24,31],"predicting":[25],"their":[26],"relations,":[27,72,128],"or":[28],"detect":[29],"relations":[30,86],"recognizing":[32],"associated":[33],"entities.":[34],"This":[35],"order":[36],"may":[37],"lead":[38],"to":[39,55,109,124,133],"error":[40,47],"accumulation":[41],"because":[42],"once":[43],"there":[44],"the":[49,115,119,156],"initial":[50],"step,":[51],"it":[52],"will":[53],"accumulate":[54],"subsequent":[56],"steps.":[57],"To":[58],"solve":[59],"this":[60,140],"problem,":[61],"we":[62],"propose":[63],"parallel":[65],"model":[66,166],"for":[67],"jointly":[68,131],"extracting":[69],"and":[71,85,103,112,127,160,174],"called":[73],"PRE-Span,":[74],"which":[75,129],"consists":[76],"two":[78,97,120],"mutually":[79],"independent":[80,98],"submodules.":[81],"Specifically,":[82],"candidate":[83],"are":[87,107,122,130],"first":[88],"generated":[89],"by":[90],"enumerating":[91],"token":[92],"sequences":[93],"sentences.":[95],"Then,":[96],"submodules":[99,121],"(Entity":[100],"Extraction":[101],"Module":[102],"Relation":[104],"Detection":[105],"Module)":[106],"designed":[108],"predict":[110],"relations.":[113],"Finally,":[114],"predicted":[116],"results":[117],"analyzed":[123],"select":[125],"decoded":[132],"obtain":[134],"triples.":[136],"The":[137],"advantage":[138],"method":[141],"that":[143,164],"all":[144],"can":[146],"be":[147],"extracted":[148],"just":[150],"one":[151],"step.":[152],"Extensive":[153],"experiments":[154],"on":[155],"WebNLG*,":[157],"NYT*,":[158],"NYT":[159],"WebNLG":[161],"datasets":[162],"show":[163],"our":[165],"outperforms":[167],"other":[168],"baselines":[169],"at":[170],"94.4%,":[171],"88.3%,":[172],"86.5%":[173],"83.0%,":[175],"respectively.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}