{"id":"https://openalex.org/W4401806221","doi":"https://doi.org/10.1109/taslp.2024.3449029","title":"Zero-Shot Cross-Lingual Named Entity Recognition via Progressive Multi-Teacher Distillation","display_name":"Zero-Shot Cross-Lingual Named Entity Recognition via Progressive Multi-Teacher Distillation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401806221","doi":"https://doi.org/10.1109/taslp.2024.3449029"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2024.3449029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3449029","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","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/A5015176953","display_name":"Zhuoran Li","orcid":"https://orcid.org/0009-0000-6788-2165"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuoran Li","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028857237","display_name":"Chunming Hu","orcid":"https://orcid.org/0000-0003-3473-9703"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunming Hu","raw_affiliation_strings":["School of Software, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027015677","display_name":"Richong Zhang","orcid":"https://orcid.org/0000-0002-1207-0300"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richong Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006061735","display_name":"Junfan Chen","orcid":"https://orcid.org/0000-0001-6807-0089"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfan Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100647240","display_name":"Xiaohui Guo","orcid":"https://orcid.org/0000-0002-5588-0995"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Guo","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University, HangZhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, HangZhou, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015176953"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65863781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"4617","last_page":"4630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T13629","display_name":"Text Readability and Simplification","score":0.9363999962806702,"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/zero","display_name":"Zero (linguistics)","score":0.6219513416290283},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5254353880882263},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5011069774627686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4089791774749756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3729092478752136},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3268207311630249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3231341242790222},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.3188436031341553},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2739769518375397},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.24269399046897888},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11695709824562073},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08606469631195068},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.08532539010047913}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6219513416290283},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5254353880882263},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5011069774627686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4089791774749756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3729092478752136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3268207311630249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3231341242790222},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.3188436031341553},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2739769518375397},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.24269399046897888},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11695709824562073},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08606469631195068},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.08532539010047913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2024.3449029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3449029","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1421742111","display_name":null,"funder_award_id":"U23B2056","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W173870552","https://openalex.org/W1818534184","https://openalex.org/W2006199065","https://openalex.org/W2088212442","https://openalex.org/W2117130368","https://openalex.org/W2171590421","https://openalex.org/W2508865106","https://openalex.org/W2510940142","https://openalex.org/W2525778437","https://openalex.org/W2620998106","https://openalex.org/W2734693922","https://openalex.org/W2737398044","https://openalex.org/W2742113707","https://openalex.org/W2743289088","https://openalex.org/W2807912816","https://openalex.org/W2808373772","https://openalex.org/W2888159112","https://openalex.org/W2915429162","https://openalex.org/W2952638691","https://openalex.org/W2963308086","https://openalex.org/W2963625095","https://openalex.org/W2996834012","https://openalex.org/W2996970889","https://openalex.org/W3003621239","https://openalex.org/W3005564270","https://openalex.org/W3021663125","https://openalex.org/W3034708897","https://openalex.org/W3035321581","https://openalex.org/W3035390927","https://openalex.org/W3105011057","https://openalex.org/W3169035567","https://openalex.org/W3173825844","https://openalex.org/W3207996109","https://openalex.org/W4205312114","https://openalex.org/W4285298768","https://openalex.org/W4293083978","https://openalex.org/W4312244979","https://openalex.org/W4385570831","https://openalex.org/W4385574171","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6691415029","https://openalex.org/W6697155078","https://openalex.org/W6725724645","https://openalex.org/W6727690538","https://openalex.org/W6744390137","https://openalex.org/W6748163181","https://openalex.org/W6754286068","https://openalex.org/W6755207826","https://openalex.org/W6761543894","https://openalex.org/W6764288440","https://openalex.org/W6767279546","https://openalex.org/W6767405489","https://openalex.org/W6770026618","https://openalex.org/W6770293431","https://openalex.org/W6783596713","https://openalex.org/W6784577980","https://openalex.org/W6797162287","https://openalex.org/W6847090926"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"Cross-lingual":[0],"learning":[1,117],"aims":[2],"to":[3,10,20,29,118],"transfer":[4],"knowledge":[5,37,161],"from":[6,48,124],"one":[7,108],"natural":[8],"language":[9,69,81],"another.":[11],"Zero-shot":[12],"cross-lingual":[13,92],"named":[14,31],"entity":[15],"recognition":[16],"(NER)":[17],"tasks":[18],"are":[19,123],"train":[21],"an":[22],"NER":[23],"model":[24,75,114,146,169,192],"on":[25,78,170,181],"source":[26,80],"languages":[27,51,187],"and":[28,52,138],"identify":[30],"entities":[32],"in":[33,40,56,66,102],"other":[34],"languages.":[35],"Existing":[36],"distillation-based":[38],"models":[39],"a":[41,153,159],"teacher-student":[42],"manner":[43],"leverage":[44],"the":[45,49,60,67,73,79,89,96,99,121,125,139,144,167,171,176],"unlabeled":[46],"samples":[47],"target":[50,68],"show":[53,188],"their":[54],"superiority":[55],"this":[57,103,131],"setting.":[58],"However,":[59],"valuable":[61],"similarity":[62,116],"information":[63],"between":[64],"tokens":[65],"is":[70,136],"ignored.":[71],"And":[72],"teacher":[74,100,113,168],"trained":[76],"solely":[77],"generates":[82],"low-quality":[83],"pseudo-labels.":[84],"These":[85],"two":[86,140],"facts":[87],"impact":[88],"performance":[90],"of":[91,98],"NER.":[93],"To":[94],"improve":[95],"reliability":[97],"model,":[101,156],"study,":[104],"we":[105,157],"first":[106],"introduce":[107],"extra":[109],"simple":[110],"binary":[111,132],"classification":[112,133],"by":[115,175],"measure":[119],"if":[120],"inputs":[122],"same":[126],"class.":[127],"We":[128],"note":[129],"that":[130,164,189],"auxiliary":[134],"task":[135],"easier,":[137],"teachers":[141],"simultaneously":[142],"supervise":[143],"student":[145,155,177],"for":[147],"better":[148],"performance.":[149],"Furthermore,":[150],"given":[151],"such":[152],"stronger":[154],"propose":[158],"progressive":[160],"distillation":[162],"framework":[163],"extensively":[165],"fine-tunes":[166],"target-language":[172],"pseudo-labels":[173],"generated":[174],"model.":[178],"Empirical":[179],"studies":[180],"three":[182],"datasets":[183],"across":[184],"seven":[185],"different":[186],"our":[190],"presented":[191],"outperforms":[193],"state-of-the-art":[194],"methods.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}