{"id":"https://openalex.org/W4387848904","doi":"https://doi.org/10.1145/3583780.3615026","title":"Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes","display_name":"Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848904","doi":"https://doi.org/10.1145/3583780.3615026"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1145/3583780.3615026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020545071","display_name":"Jiuding Yang","orcid":"https://orcid.org/0000-0001-9170-1360"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"funder","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiuding Yang","raw_affiliation_strings":["University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069413253","display_name":"Jinwen Luo","orcid":"https://orcid.org/0009-0003-8663-3836"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"funder","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Luo","raw_affiliation_strings":["Platform and Content Group, Tencent, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Platform and Content Group, Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103212986","display_name":"W. Y. Guo","orcid":"https://orcid.org/0009-0000-0961-3696"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"funder","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Guo","raw_affiliation_strings":["Platform and Content Group, Tencent, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Platform and Content Group, Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897035","display_name":"Jerry Chen","orcid":"https://orcid.org/0000-0002-3748-5940"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"funder","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jerry Chen","raw_affiliation_strings":["University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032424832","display_name":"Di Niu","orcid":"https://orcid.org/0000-0002-5250-7327"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"funder","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Di Niu","raw_affiliation_strings":["University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101625587","display_name":"Xu Yu","orcid":"https://orcid.org/0009-0003-6832-7878"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"funder","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xu","raw_affiliation_strings":["Platform and Content Group, Tencent, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Platform and Content Group, Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"2980","last_page":"2989"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9999,"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":0.9999,"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":0.9995,"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":0.9733,"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/scope","display_name":"Scope (computer science)","score":0.7129777},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named Entity Recognition","score":0.6864797},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.595539},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.519493},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.4810029},{"id":"https://openalex.org/keywords/nested-set-model","display_name":"Nested set model","score":0.43544406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81783533},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.7129777},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.6864797},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.595539},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.519493},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4971836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4911687},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.4810029},{"id":"https://openalex.org/C103000020","wikidata":"https://www.wikidata.org/wiki/Q1978426","display_name":"Nested set model","level":3,"score":0.43544406},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38136783},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10039881},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.066883385},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.06019345},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.058719724},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2211.10854","pdf_url":"https://arxiv.org/pdf/2211.10854","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W1483263482","https://openalex.org/W1541018942","https://openalex.org/W1965175721","https://openalex.org/W1973481296","https://openalex.org/W1982982698","https://openalex.org/W2039331562","https://openalex.org/W2108218871","https://openalex.org/W2117772341","https://openalex.org/W2145386458","https://openalex.org/W2250539671","https://openalex.org/W2250710764","https://openalex.org/W2396888487","https://openalex.org/W2425667873","https://openalex.org/W2595551253","https://openalex.org/W2803609931","https://openalex.org/W2804221886","https://openalex.org/W2891570996","https://openalex.org/W2949663785","https://openalex.org/W2950281195","https://openalex.org/W2963568202","https://openalex.org/W2963750238","https://openalex.org/W2979137222","https://openalex.org/W2989186566","https://openalex.org/W2998456908","https://openalex.org/W3011594683","https://openalex.org/W3034744126","https://openalex.org/W3035375600","https://openalex.org/W3035625205","https://openalex.org/W3090015871","https://openalex.org/W3106312823","https://openalex.org/W3176680950","https://openalex.org/W3200327759","https://openalex.org/W3213591530","https://openalex.org/W4210598935","https://openalex.org/W4226470037","https://openalex.org/W4245736198"],"related_works":["https://openalex.org/W4399418584","https://openalex.org/W4300474194","https://openalex.org/W4255258373","https://openalex.org/W3198729192","https://openalex.org/W3000685722","https://openalex.org/W2792659145","https://openalex.org/W2593907245","https://openalex.org/W2530283981","https://openalex.org/W2520117834","https://openalex.org/W2186562580"],"abstract_inverted_index":{"Nested":[0,64],"Named":[1,9,65],"Entity":[2,10,66],"Recognition":[3,67],"(NNER),":[4],"as":[5],"a":[6,26,75,92,126,143,156],"subarea":[7],"of":[8,25,77,113,155],"Recognition,":[11],"has":[12,51],"presented":[13],"longstanding":[14],"challenges":[15],"to":[16,74,159],"researchers.":[17],"In":[18],"NNER,":[19],"one":[20],"entity":[21,158],"may":[22],"be":[23],"part":[24],"larger":[27],"entity,":[28],"which":[29,114],"can":[30,130],"occur":[31],"at":[32],"multiple":[33,102,138],"levels.":[34],"These":[35],"nested":[36,117,135],"structures":[37,136],"prevent":[38],"traditional":[39],"sequence":[40,145],"labeling":[41,146],"methods":[42,57,170],"from":[43,98],"properly":[44],"recognizing":[45],"all":[46],"entities.":[47,119],"While":[48],"recent":[49],"research":[50],"focused":[52],"on":[53,121,175],"designing":[54],"better":[55],"recognition":[56,173],"for":[58],"NNER":[59],"in":[60,86,101,134],"various":[61],"languages,":[62],"Chinese":[63,180],"(CNNER)":[68],"is":[69],"still":[70],"underdeveloped,":[71],"largely":[72],"due":[73],"lack":[76],"freely":[78],"available":[79],"CNNER":[80,84,93],"benchmarks.":[81],"To":[82],"support":[83],"research,":[85],"this":[87],"paper,":[88],"we":[89,123],"introduce":[90],"ChiNesE,":[91,122],"dataset":[94],"comprising":[95],"20,000":[96],"sentences":[97],"online":[99],"passages":[100],"domains":[103],"and":[104,152,177],"containing":[105],"117,284":[106],"entities":[107,133],"that":[108,129,148,165],"fall":[109],"into":[110],"10":[111],"categories,":[112],"43.8%":[115],"are":[116],"named":[118,132,157],"Based":[120],"propose":[124],"Mulco,":[125],"novel":[127],"method":[128,147],"recognize":[131,160],"through":[137],"scopes.":[139],"Each":[140],"scope":[141],"uses":[142],"scope-based":[144],"predicts":[149],"an":[150],"anchor":[151],"the":[153],"length":[154],"it.":[161],"Experimental":[162],"results":[163],"show":[164],"Mulco":[166],"outperforms":[167],"state-of-the-art":[168],"baseline":[169],"with":[171],"different":[172],"schemes":[174],"ChiNesE":[176],"ACE":[178],"2005":[179],"corpus.":[181]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4387848904","counts_by_year":[],"updated_date":"2025-01-24T06:57:29.762206","created_date":"2023-10-22"}