{"id":"https://openalex.org/W3034662187","doi":"https://doi.org/10.24963/ijcai.2020/550","title":"Leveraging Document-Level Label Consistency for Named Entity Recognition","display_name":"Leveraging Document-Level Label Consistency for Named Entity Recognition","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034662187","doi":"https://doi.org/10.24963/ijcai.2020/550","mag":"3034662187"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/550","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/550","pdf_url":"https://www.ijcai.org/proceedings/2020/0550.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0550.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058353652","display_name":"Tao Gui","orcid":"https://orcid.org/0000-0002-6154-0751"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Gui","raw_affiliation_strings":["Fudan University, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102844797","display_name":"Jiacheng Ye","orcid":"https://orcid.org/0009-0008-6306-311X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Ye","raw_affiliation_strings":["Fudan University, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Fudan University, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100559702","display_name":"Yaqian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Zhou","raw_affiliation_strings":["Fudan University, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041448669","display_name":"Yeyun Gong","orcid":"https://orcid.org/0000-0001-9954-9674"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeyun Gong","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Fudan University, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3976","last_page":"3982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9872000217437744,"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":0.8056536912918091},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6897426843643188},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.600634753704071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4955798387527466},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47337597608566284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45300543308258057},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4397231638431549},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4050828218460083},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3949083387851715},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3835700750350952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056536912918091},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6897426843643188},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.600634753704071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4955798387527466},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47337597608566284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45300543308258057},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4397231638431549},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4050828218460083},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3949083387851715},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3835700750350952},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/550","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/550","pdf_url":"https://www.ijcai.org/proceedings/2020/0550.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/550","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/550","pdf_url":"https://www.ijcai.org/proceedings/2020/0550.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3214317779","display_name":null,"funder_award_id":"No.2018SHZDZX01","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G3471270673","display_name":null,"funder_award_id":"61976056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3572139228","display_name":null,"funder_award_id":"18DZ1201000","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G3892115987","display_name":null,"funder_award_id":"61532011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4666185321","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G4918981142","display_name":null,"funder_award_id":"61751201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6142973028","display_name":null,"funder_award_id":"17JC1420200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G6271259443","display_name":null,"funder_award_id":"2018SHZDZX01","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7475107363","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8899475930","display_name":null,"funder_award_id":"2018SHZDZX01","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"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034662187.pdf","grobid_xml":"https://content.openalex.org/works/W3034662187.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W2117813082","https://openalex.org/W2144578941","https://openalex.org/W2145870108","https://openalex.org/W2153579005","https://openalex.org/W2212703438","https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2600383743","https://openalex.org/W2808647726","https://openalex.org/W2896457183","https://openalex.org/W2899055307","https://openalex.org/W2904442979","https://openalex.org/W2949861626","https://openalex.org/W2952087486","https://openalex.org/W2962739339","https://openalex.org/W2962902328","https://openalex.org/W2962906565","https://openalex.org/W2963140597","https://openalex.org/W2963266340","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963448850","https://openalex.org/W2963497309","https://openalex.org/W2963625095","https://openalex.org/W2963971244","https://openalex.org/W2964059111","https://openalex.org/W2964110616","https://openalex.org/W2970400306","https://openalex.org/W2997919746","https://openalex.org/W2998098272","https://openalex.org/W4294170691","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W4288261899","https://openalex.org/W4307309205","https://openalex.org/W2967478618","https://openalex.org/W4385009901","https://openalex.org/W4385572700","https://openalex.org/W2997152889","https://openalex.org/W4387768015","https://openalex.org/W4285141722"],"abstract_inverted_index":{"Document-level":[0],"label":[1,36,46,54,60],"consistency":[2],"is":[3,67],"an":[4],"effective":[5],"indicator":[6],"that":[7,153],"different":[8],"occurrences":[9],"of":[10,110,127,139],"a":[11,51,63,81,124],"particular":[12],"token":[13],"sequence":[14],"are":[15,41,117],"very":[16],"likely":[17],"to":[18,57,70,105,119],"have":[19],"the":[20,33,76,92,98,107,121,136,154,159],"same":[21],"entity":[22,149],"types.":[23],"Previous":[24],"work":[25,49],"focused":[26],"on":[27,86,91,146],"better":[28],"context":[29],"representations":[30],"and":[31,79],"used":[32,69,118],"CRF":[34],"for":[35,43],"decoding.":[37],"However,":[38],"CRF-based":[39],"methods":[40],"inadequate":[42],"modeling":[44],"document-level":[45,59],"consistency.":[47],"This":[48],"introduces":[50],"novel":[52],"two-stage":[53],"refinement":[55,138],"approach":[56],"handle":[58],"consistency,":[61],"where":[62],"key-value":[64],"memory":[65,99],"network":[66],"first":[68],"record":[71],"draft":[72,88,112,141],"labels":[73,122],"predicted":[74],"by":[75],"base":[77],"model,":[78],"then":[80],"multi-channel":[82],"Transformer":[83],"makes":[84],"refinements":[85],"these":[87],"predictions":[89],"based":[90],"explicit":[93],"co-occurrence":[94],"relationship":[95],"derived":[96],"from":[97],"network.":[100],"In":[101],"addition,":[102],"in":[103,134],"order":[104],"mitigate":[106],"side":[108],"effects":[109],"incorrect":[111,137],"labels,":[113],"Bayesian":[114],"neural":[115],"networks":[116],"indicate":[120],"with":[123],"high":[125],"probability":[126],"being":[128],"wrong,":[129],"which":[130],"can":[131],"greatly":[132],"assist":[133],"preventing":[135],"correct":[140],"labels.":[142],"The":[143],"experimental":[144],"results":[145],"three":[147],"named":[148],"recognition":[150],"benchmarks":[151],"demonstrated":[152],"proposed":[155],"method":[156],"significantly":[157],"outperformed":[158],"state-of-the-art":[160],"methods.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}