{"id":"https://openalex.org/W3147216634","doi":"https://doi.org/10.1109/tai.2021.3068697","title":"A Global\u2013Local Attentive Relation Detection Model for Knowledge-Based Question Answering","display_name":"A Global\u2013Local Attentive Relation Detection Model for Knowledge-Based Question Answering","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3147216634","doi":"https://doi.org/10.1109/tai.2021.3068697","mag":"3147216634"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2021.3068697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2021.3068697","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5066436167","display_name":"Chen Qiu","orcid":"https://orcid.org/0000-0003-4727-6066"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Qiu","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4727-6066","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007102035","display_name":"Guangyou Zhou","orcid":"https://orcid.org/0000-0002-7675-6619"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyou Zhou","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7675-6619","affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038861185","display_name":"Zhihua Cai","orcid":"https://orcid.org/0000-0003-0020-6503"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cai","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0020-6503","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018138946","display_name":"Anders S\u00f8gaard","orcid":"https://orcid.org/0000-0001-5250-4276"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Anders S\u00f8gaard","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Copenhagen, Denmark","Google Research, Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]},{"raw_affiliation_string":"Google Research, Copenhagen, Denmark","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7743,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87017978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"2","first_page":"200","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958000183105469,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8690744042396545},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6429462432861328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5395703911781311},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4288749694824219},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41452687978744507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3680003881454468},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1604103446006775}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8690744042396545},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6429462432861328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5395703911781311},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4288749694824219},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41452687978744507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3680003881454468},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1604103446006775}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tai.2021.3068697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2021.3068697","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/12af7927-bf7c-47c7-8648-1d10f1e88b5d","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/12af7927-bf7c-47c7-8648-1d10f1e88b5d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qiu , C , Zhou , G , Cai , Z & Sogaard , A 2021 , ' A Global\u2013Local Attentive Relation Detection Model for Knowledge-Based Question Answering ' , IEEE Transactions on Artificial Intelligence , vol. 2 , no. 2 , pp. 200-212 . https://doi.org/10.1109/TAI.2021.3068697","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G301648404","display_name":null,"funder_award_id":"61773355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8358453724","display_name":"\u57fa\u4e8e\u5927\u89c4\u6a21\u77e5\u8bc6\u5e93\u96c6\u6210\u4e0e\u591a\u8def\u5f84\u8868\u793a\u5b66\u4e60\u7684\u5f00\u653e\u57df\u77e5\u8bc6\u5e93\u95ee\u7b54\u7814\u7a76","funder_award_id":"61972173","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":117,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W580074167","https://openalex.org/W1512387364","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1801721664","https://openalex.org/W1887754209","https://openalex.org/W1894439495","https://openalex.org/W1981419611","https://openalex.org/W2032374895","https://openalex.org/W2080133951","https://openalex.org/W2090243146","https://openalex.org/W2094728533","https://openalex.org/W2099779943","https://openalex.org/W2125553157","https://openalex.org/W2131726681","https://openalex.org/W2136189984","https://openalex.org/W2145544171","https://openalex.org/W2148721079","https://openalex.org/W2151149636","https://openalex.org/W2156233801","https://openalex.org/W2181042685","https://openalex.org/W2184957013","https://openalex.org/W2250539671","https://openalex.org/W2251079237","https://openalex.org/W2252136820","https://openalex.org/W2283196293","https://openalex.org/W2286300105","https://openalex.org/W2302963717","https://openalex.org/W2337282450","https://openalex.org/W2432356473","https://openalex.org/W2511149293","https://openalex.org/W2515462165","https://openalex.org/W2517194566","https://openalex.org/W2522344625","https://openalex.org/W2539671052","https://openalex.org/W2546950329","https://openalex.org/W2555308822","https://openalex.org/W2572289264","https://openalex.org/W2591368218","https://openalex.org/W2598771386","https://openalex.org/W2604314403","https://openalex.org/W2604491498","https://openalex.org/W2605089588","https://openalex.org/W2735827947","https://openalex.org/W2739716023","https://openalex.org/W2759136286","https://openalex.org/W2759211898","https://openalex.org/W2759281352","https://openalex.org/W2788653116","https://openalex.org/W2799014768","https://openalex.org/W2868095129","https://openalex.org/W2875408189","https://openalex.org/W2890961898","https://openalex.org/W2908230750","https://openalex.org/W2946476638","https://openalex.org/W2949972983","https://openalex.org/W2953232951","https://openalex.org/W2962745909","https://openalex.org/W2963174729","https://openalex.org/W2963224980","https://openalex.org/W2963432357","https://openalex.org/W2963655104","https://openalex.org/W2963682631","https://openalex.org/W2963738886","https://openalex.org/W2963761301","https://openalex.org/W2963861211","https://openalex.org/W2963897632","https://openalex.org/W2964121744","https://openalex.org/W2964302598","https://openalex.org/W2966747703","https://openalex.org/W2971155257","https://openalex.org/W2971169991","https://openalex.org/W2972167903","https://openalex.org/W2976311829","https://openalex.org/W2981697859","https://openalex.org/W2983745280","https://openalex.org/W2988237903","https://openalex.org/W2991085750","https://openalex.org/W2997482868","https://openalex.org/W3003265726","https://openalex.org/W3005672611","https://openalex.org/W4287866937","https://openalex.org/W4288118250","https://openalex.org/W6604189946","https://openalex.org/W6617055948","https://openalex.org/W6630579473","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638247618","https://openalex.org/W6639620173","https://openalex.org/W6678778854","https://openalex.org/W6679492327","https://openalex.org/W6680450716","https://openalex.org/W6681270447","https://openalex.org/W6683237652","https://openalex.org/W6686133869","https://openalex.org/W6691476020","https://openalex.org/W6695596964","https://openalex.org/W6696328460","https://openalex.org/W6703659296","https://openalex.org/W6703755215","https://openalex.org/W6717114878","https://openalex.org/W6718112784","https://openalex.org/W6730164271","https://openalex.org/W6732282177","https://openalex.org/W6735632219","https://openalex.org/W6735873222","https://openalex.org/W6752986693","https://openalex.org/W6753202979","https://openalex.org/W6767905578","https://openalex.org/W6769311773","https://openalex.org/W6769376214","https://openalex.org/W6770199028","https://openalex.org/W6772361216","https://openalex.org/W6773406862","https://openalex.org/W6773622464"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W4234874385","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Knowledge-based":[0],"question":[1,159],"answering":[2,160,164],"(KBQA)":[3,161],"is":[4],"an":[5,107],"essential":[6],"but":[7],"challenging":[8],"task":[9],"for":[10,27],"artificial":[11],"intelligence":[12],"and":[13,34,81,92,183,192,208,231,244,268],"natural":[14],"language":[15],"processing.":[16],"A":[17],"key":[18],"challenge":[19],"pertains":[20],"to":[21,74,86],"the":[22,39,45,71,76,83,104,113,129,134,144,169,179,203,249],"design":[23],"of":[24,78,106,136,206],"effective":[25],"algorithms":[26,199],"relation":[28,65,115,130,145,193,197,241],"detection.":[29,194],"Conventional":[30],"methods":[31],"model":[32,67],"questions":[33,91,166,207],"candidate":[35,94],"relations":[36,95,209],"separately":[37],"through":[38,143],"knowledge":[40,170,177],"bases":[41,171],"(KBs)":[42],"without":[43],"considering":[44],"rich":[46],"word-level":[47,79],"interactions":[48,80,233],"between":[49,90,220],"them.":[50,221],"This":[51,59,99],"approach":[52],"may":[53],"result":[54],"in":[55,97,128,178,225,259],"local":[56,72,214,232],"optimal":[57],"results.":[58],"article":[60,100,227],"presents":[61],"a":[62],"global-local":[63],"attentive":[64],"detection":[66,116,131,146,191,198,242],"(GLAR)":[68],"that":[69],"utilizes":[70],"module":[73,85],"learn":[75],"features":[77],"employs":[82],"global":[84,204,230],"acquire":[87],"nonlinear":[88],"relationships":[89],"their":[93],"located":[96],"KBs.":[98],"also":[101],"reports":[102],"on":[103,121,150,186,202,217,239],"application":[105],"end-to-end":[108,137],"retrieval-based":[109],"KBQA":[110,138,173,246],"system":[111],"incorporating":[112],"proposed":[114,224],"model.":[117],"Experimental":[118],"results":[119,149],"obtained":[120],"two":[122,187,240,245],"datasets":[123,152],"demonstrated":[124],"GLAR's":[125],"remarkable":[126],"performance":[127],"task.":[132],"Furthermore,":[133],"functioning":[135],"systems":[139],"was":[140],"significantly":[141],"improved":[142],"model,":[147],"whose":[148],"both":[151,229],"outperformed":[153],"even":[154],"state-of-the-art":[155],"methods.":[156],"Impact":[157],"Statement-Knowledge-based":[158],"aims":[162],"at":[163],"user":[165],"posed":[167],"over":[168],"(KBs).":[172],"helps":[174],"users":[175],"access":[176],"KBs":[180],"more":[181,252,260],"easily,":[182],"it":[184],"works":[185],"subtasks:":[188],"entity":[189],"mention":[190],"While":[195],"existing":[196],"perform":[200],"well":[201],"representation":[205],"sequences,":[210],"they":[211],"ignore":[212],"some":[213],"semantic":[215],"information":[216],"interaction":[218],"cases":[219],"The":[222],"technology":[223,250],"this":[226],"takes":[228],"into":[234],"account.":[235],"With":[236],"superior":[237],"improvement":[238],"tasks":[243],"end":[247],"tasks,":[248],"provides":[251],"precise":[253],"answers.":[254],"It":[255],"could":[256],"be":[257],"used":[258],"applications,":[261],"including":[262],"intelligent":[263,266],"customer":[264],"service,":[265],"finance,":[267],"others.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}