{"id":"https://openalex.org/W3012244339","doi":"https://doi.org/10.1109/access.2020.2980859","title":"Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction","display_name":"Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012244339","doi":"https://doi.org/10.1109/access.2020.2980859","mag":"3012244339"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2980859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980859","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09036871.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/ielx7/6287639/8948470/09036871.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068023011","display_name":"Yin Hong","orcid":"https://orcid.org/0000-0001-5343-0440"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Hong","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5343-0440","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720188","display_name":"Yanxia Liu","orcid":"https://orcid.org/0000-0002-5113-037X"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yanxia Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina at Columbia, Columbia, USA","School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5113-037X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina at Columbia, Columbia, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082756241","display_name":"Suizhu Yang","orcid":"https://orcid.org/0000-0001-5984-8901"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suizhu Yang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5984-8901","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569297","display_name":"Kaiwen Zhang","orcid":"https://orcid.org/0000-0001-7518-5191"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwen Zhang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7518-5191","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485702","display_name":"Aiqing Wen","orcid":"https://orcid.org/0000-0002-3104-0510"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqing Wen","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3104-0510","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060537711","display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8725-6660","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"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":3.5201,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.93961931,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"51315","last_page":"51323"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9958999752998352,"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":0.8437897562980652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8265547752380371},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6093600392341614},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5663853287696838},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5015530586242676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45114821195602417},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4394238293170929},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43887561559677124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41744911670684814},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3959958553314209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36380869150161743}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.8437897562980652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8265547752380371},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6093600392341614},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5663853287696838},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5015530586242676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45114821195602417},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4394238293170929},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43887561559677124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41744911670684814},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3959958553314209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36380869150161743},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2980859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980859","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09036871.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:5f54910ff179440ebb3fe2e067878384","is_oa":true,"landing_page_url":"https://doaj.org/article/5f54910ff179440ebb3fe2e067878384","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 8, Pp 51315-51323 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2980859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980859","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09036871.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":[],"awards":[{"id":"https://openalex.org/G2310090443","display_name":null,"funder_award_id":"61876207","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3012244339.pdf","grobid_xml":"https://content.openalex.org/works/W3012244339.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1551842868","https://openalex.org/W1604644367","https://openalex.org/W2004763266","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2112796928","https://openalex.org/W2123442489","https://openalex.org/W2134033474","https://openalex.org/W2250521169","https://openalex.org/W2250539671","https://openalex.org/W2251091211","https://openalex.org/W2296283641","https://openalex.org/W2539469848","https://openalex.org/W2578454709","https://openalex.org/W2600702321","https://openalex.org/W2741956709","https://openalex.org/W2774837955","https://openalex.org/W2798734500","https://openalex.org/W2808142148","https://openalex.org/W2890560945","https://openalex.org/W2891935547","https://openalex.org/W2892094955","https://openalex.org/W2910152998","https://openalex.org/W2936215830","https://openalex.org/W2949212908","https://openalex.org/W2949861626","https://openalex.org/W2951231735","https://openalex.org/W2962913831","https://openalex.org/W2963020213","https://openalex.org/W2963355447","https://openalex.org/W2963602416","https://openalex.org/W2963625095","https://openalex.org/W2963663567","https://openalex.org/W2964015378","https://openalex.org/W2964166731","https://openalex.org/W2964167098","https://openalex.org/W2964217331","https://openalex.org/W2970509139","https://openalex.org/W2971458116","https://openalex.org/W2975998869","https://openalex.org/W2984452801","https://openalex.org/W2991321929","https://openalex.org/W2998984271","https://openalex.org/W3099387504","https://openalex.org/W4288373939","https://openalex.org/W4297733535","https://openalex.org/W4297933772","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6691723933","https://openalex.org/W6726873649","https://openalex.org/W6732551439","https://openalex.org/W6760837195","https://openalex.org/W6764124961","https://openalex.org/W6768134808","https://openalex.org/W6843761164"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","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","https://openalex.org/W4385734297"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,51,92],"present":[4],"a":[5,53,68],"novel":[6,54],"end-to-end":[7],"neural":[8],"model":[9,118],"based":[10,73],"on":[11,74,112],"graph":[12,70],"convolutional":[13],"networks":[14],"(GCN)":[15],"for":[16],"jointly":[17],"extracting":[18],"entities":[19,48],"and":[20,36,49,85,102,116],"relations":[21,39],"between":[22,47,63],"them.":[23],"It":[24],"divides":[25],"the":[26,44,60,80,86],"joint":[27],"extraction":[28],"into":[29],"two":[30,64,113],"sub-tasks,":[31],"first":[32],"detecting":[33],"entity":[34,38,65,77,83],"spans":[35,78,84],"identifying":[37],"type":[40],"simultaneously.":[41],"To":[42],"consider":[43],"complete":[45,69],"interaction":[46],"relations,":[50],"propose":[52],"relation-aware":[55],"attention":[56],"mechanism":[57],"to":[58,96],"obtain":[59],"relation":[61,89],"representation":[62],"spans.":[66],"Therefore,":[67],"is":[71],"constructed":[72],"all":[75,120],"extracted":[76],"where":[79],"nodes":[81],"are":[82,88,110],"edges":[87],"representation.":[90],"Besides,":[91],"improve":[93],"original":[94],"GCN":[95],"utilize":[97],"both":[98],"adjacent":[99],"node":[100,107],"features":[101],"edge":[103],"information":[104],"when":[105],"encoding":[106],"feature.":[108],"Experiments":[109],"conducted":[111],"public":[114],"datasets":[115],"our":[117],"outperforms":[119],"baseline":[121],"methods.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
