{"id":"https://openalex.org/W4388052840","doi":"https://doi.org/10.1109/access.2023.3328802","title":"An Entity-Relation Joint Extraction Method Based on Two Independent Sub-Modules From Unstructured Text","display_name":"An Entity-Relation Joint Extraction Method Based on Two Independent Sub-Modules From Unstructured Text","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388052840","doi":"https://doi.org/10.1109/access.2023.3328802"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3328802","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328802","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10302272.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":null,"license_id":null,"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/ielx7/6287639/6514899/10302272.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101607191","display_name":"Can Liu","orcid":"https://orcid.org/0009-0006-8694-9322"},"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":"Su Liu","raw_affiliation_strings":["School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-8694-9322","affiliations":[{"raw_affiliation_string":"School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenqi Lyu","orcid":"https://orcid.org/0000-0001-9400-072X"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wenqi Lyu","raw_affiliation_strings":["School of Applied Sciences, Macao Polytechnic University, Macau, China","School of Applied Sciences, Macao Polytechnic University, Macao SAR, P.R. China"],"raw_orcid":"https://orcid.org/0000-0001-9400-072X","affiliations":[{"raw_affiliation_string":"School of Applied Sciences, Macao Polytechnic University, Macau, China","institution_ids":["https://openalex.org/I49835588"]},{"raw_affiliation_string":"School of Applied Sciences, Macao Polytechnic University, Macao SAR, P.R. China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646697","display_name":"Xiao Ma","orcid":"https://orcid.org/0000-0003-1536-319X"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xiao Ma","raw_affiliation_strings":["School of Applied Sciences, Macao Polytechnic University, Macau, China","School of Applied Sciences, Macao Polytechnic University, Macao SAR, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Applied Sciences, Macao Polytechnic University, Macau, China","institution_ids":["https://openalex.org/I49835588"]},{"raw_affiliation_string":"School of Applied Sciences, Macao Polytechnic University, Macao SAR, P.R. China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"last","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":["School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4759,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69690935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"122154","last_page":"122163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9979000091552734,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9955999851226807,"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":0.9934999942779541,"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":0.8518555760383606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8338276147842407},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6016033887863159},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5249635577201843},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5199052691459656},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5045591592788696},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.48068365454673767},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48026514053344727},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47906455397605896},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.47446900606155396},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.44670164585113525},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.44065895676612854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.436681866645813},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39519596099853516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38278114795684814},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3440626263618469},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.3193454146385193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10467004776000977}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.8518555760383606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8338276147842407},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6016033887863159},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5249635577201843},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5199052691459656},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5045591592788696},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.48068365454673767},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48026514053344727},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47906455397605896},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.47446900606155396},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.44670164585113525},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.44065895676612854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.436681866645813},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39519596099853516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38278114795684814},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3440626263618469},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3193454146385193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10467004776000977},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3328802","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328802","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10302272.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f7f69fa2e3b940f48fc7193bfb25d69c","is_oa":true,"landing_page_url":"https://doaj.org/article/f7f69fa2e3b940f48fc7193bfb25d69c","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 122154-122163 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3328802","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328802","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10302272.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.699999988079071}],"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388052840.pdf","grobid_xml":"https://content.openalex.org/works/W4388052840.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W2095705004","https://openalex.org/W2132516856","https://openalex.org/W2133439966","https://openalex.org/W2162590473","https://openalex.org/W2251091211","https://openalex.org/W2774837955","https://openalex.org/W2798734500","https://openalex.org/W2799125718","https://openalex.org/W2808142148","https://openalex.org/W2890560945","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2949212908","https://openalex.org/W2951231735","https://openalex.org/W2970183140","https://openalex.org/W2981662607","https://openalex.org/W2984582583","https://openalex.org/W2996825178","https://openalex.org/W3004541293","https://openalex.org/W3034617555","https://openalex.org/W3090145439","https://openalex.org/W3099387504","https://openalex.org/W3116427155","https://openalex.org/W3133932469","https://openalex.org/W3167136668","https://openalex.org/W3173892794","https://openalex.org/W3177474367","https://openalex.org/W3178021032","https://openalex.org/W3194877662","https://openalex.org/W3199047918","https://openalex.org/W3213855194","https://openalex.org/W3214059944","https://openalex.org/W4211165551","https://openalex.org/W4212926911","https://openalex.org/W4285183816","https://openalex.org/W4285606305","https://openalex.org/W4313527213","https://openalex.org/W4365395867","https://openalex.org/W6674330103","https://openalex.org/W6679676213","https://openalex.org/W6679845031","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6767498107","https://openalex.org/W6851032281"],"related_works":["https://openalex.org/W2186562580","https://openalex.org/W3198729192","https://openalex.org/W3000685722","https://openalex.org/W4255258373","https://openalex.org/W2593907245","https://openalex.org/W3133906981","https://openalex.org/W4379379356","https://openalex.org/W3006227201","https://openalex.org/W3160627956","https://openalex.org/W3091569222"],"abstract_inverted_index":{"Extracting":[0],"entity,":[1],"relation,":[2],"and":[3,41,84,92,101,109,118,123,135,140,156,178,183],"attribute":[4],"information":[5],"from":[6],"unstructured":[7],"text":[8],"is":[9],"crucial":[10],"for":[11,79,87],"constructing":[12],"large-scale":[13],"knowledge":[14],"graphs(KG).":[15],"Existing":[16],"research":[17],"approaches":[18],"either":[19],"focus":[20],"on":[21,152,164],"entity":[22,39,58,83,91,138],"recognition":[23,40],"before":[24],"relation":[25,37,42],"extraction":[26,72],"or":[27],"employ":[28],"unified":[29],"annotation.":[30],"However,":[31],"these":[32,64],"methods":[33],"overlook":[34],"the":[35,56,81,85,89,112,165,190],"intrinsic":[36],"between":[38],"extraction,":[43],"resulting":[44],"in":[45,59,107,171,198],"ineffective":[46],"handling":[47],"of":[48,174,200],"triple":[49],"overlap":[50],"issues":[51],"where":[52],"multiple":[53],"relations":[54,102,124],"share":[55],"same":[57],"a":[60],"sentence.":[61],"To":[62],"address":[63],"challenges,":[65],"this":[66],"paper":[67],"proposes":[68],"an":[69],"entity-relation":[70],"joint":[71],"model":[73,97,148],"comprising":[74],"two":[75,113],"independent":[76],"sub-modules:":[77],"one":[78],"extracting":[80,88],"head":[82],"other":[86],"tail":[90],"its":[93,205],"corresponding":[94],"relation.":[95],"The":[96,120],"generates":[98],"candidate":[99],"entities":[100,117,122],"by":[103,180,196],"enumerating":[104],"token":[105],"sequences":[106],"sentences,":[108],"then":[110],"uses":[111],"sub-modules":[114],"to":[115,128,187],"predict":[116],"relations.":[119],"predicted":[121],"are":[125],"jointly":[126],"decoded":[127],"obtain":[129],"relational":[130],"triples,":[131],"avoiding":[132],"error":[133],"propagation":[134],"solving":[136],"redundancy,":[137],"overlap,":[139],"poor":[141],"generalization.":[142],"Extensive":[143],"experiments":[144],"demonstrate":[145],"that":[146],"our":[147,193],"achieves":[149],"state-of-the-art":[150],"performance":[151],"WebNLG,":[153],"NYT,":[154],"WebNLG*,":[155],"NYT*":[157,191],"public":[158],"benchmarks.":[159],"It":[160],"outperforms":[161],"all":[162],"baselines":[163],"WebNLG*":[166],"dataset,":[167,192],"showing":[168],"significant":[169],"improvements":[170],"different":[172],"types":[173],"triples:":[175],"normal,":[176],"SEO,":[177],"EPO":[179],"3.8%,":[181],"2.9%,":[182],"5.5%,":[184],"respectively,":[185],"compared":[186],"ETL-Span.":[188],"For":[189],"method":[194],"improves":[195],"5.7%":[197],"triples":[199],"Normal":[201],"type,":[202],"thereby":[203],"confirming":[204],"effectiveness.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
