{"id":"https://openalex.org/W4311491585","doi":"https://doi.org/10.1145/3570502","title":"Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER","display_name":"Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4311491585","doi":"https://doi.org/10.1145/3570502"},"language":"en","primary_location":{"id":"doi:10.1145/3570502","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570502","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information 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/A5100375743","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0001-8882-3148"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015122283","display_name":"Congying Xia","orcid":"https://orcid.org/0000-0001-7581-0882"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Congying Xia","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321247","display_name":"Zhiwei Liu","orcid":"https://orcid.org/0000-0003-1525-1067"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Liu","raw_affiliation_strings":["Salesforce AI Research, USA"],"affiliations":[{"raw_affiliation_string":"Salesforce AI Research, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661274","display_name":"Shu Zhao","orcid":"https://orcid.org/0000-0001-7647-3603"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhao","raw_affiliation_strings":["Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740622","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0003-0458-5977"},"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":"Hao Peng","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100375743"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75710644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"3","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T12676","display_name":"Machine Learning and ELM","score":0.9940999746322632,"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":0.5547621250152588},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5429792404174805},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5412355065345764},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5027129650115967},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.45853954553604126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3949769139289856},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.37667417526245117},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.34778088331222534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33692672848701477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.320482075214386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3141927421092987},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.23910152912139893},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21806225180625916},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09482592344284058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5547621250152588},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5429792404174805},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5412355065345764},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5027129650115967},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.45853954553604126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3949769139289856},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.37667417526245117},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.34778088331222534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33692672848701477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.320482075214386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3141927421092987},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.23910152912139893},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21806225180625916},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09482592344284058},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570502","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570502","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4574445286","display_name":null,"funder_award_id":"2021YFB1714800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G486159857","display_name":null,"funder_award_id":"62002007","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"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":43,"referenced_works":["https://openalex.org/W2088212442","https://openalex.org/W2104094955","https://openalex.org/W2138621090","https://openalex.org/W2155251704","https://openalex.org/W2250709962","https://openalex.org/W2296283641","https://openalex.org/W2558154128","https://openalex.org/W2592691248","https://openalex.org/W2604986524","https://openalex.org/W2607303097","https://openalex.org/W2750779823","https://openalex.org/W2759245808","https://openalex.org/W2798720361","https://openalex.org/W2799448136","https://openalex.org/W2949759300","https://openalex.org/W2950938254","https://openalex.org/W2951221758","https://openalex.org/W2952087486","https://openalex.org/W2953070460","https://openalex.org/W2964159205","https://openalex.org/W2985449513","https://openalex.org/W3035402810","https://openalex.org/W3035725276","https://openalex.org/W3037747687","https://openalex.org/W3038098779","https://openalex.org/W3100276395","https://openalex.org/W3100519617","https://openalex.org/W3103981637","https://openalex.org/W3104055036","https://openalex.org/W3117234969","https://openalex.org/W3130808434","https://openalex.org/W3138676763","https://openalex.org/W3140899690","https://openalex.org/W3156977692","https://openalex.org/W3193800853","https://openalex.org/W3210948155","https://openalex.org/W3212292329","https://openalex.org/W4210746245","https://openalex.org/W4238634189","https://openalex.org/W4239019441","https://openalex.org/W4243417494","https://openalex.org/W4246708511","https://openalex.org/W4391156274"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Considering":[0],"the":[1,26,32,38,44,65,84,89,94,106,120,124,136,150,171,195],"expensive":[2],"annotation":[3],"in":[4,14,49,102,119],"Named":[5],"Entity":[6],"Recognition":[7],"(NER":[8],"),":[9],"Cross-domain":[10],"NER":[11,13,48],"enables":[12],"low-resource":[15,50,183],"target":[16,184],"domains":[17,36,134,181],"with":[18,187,201],"few":[19],"or":[20],"without":[21],"labeled":[22],"data,":[23],"by":[24],"transferring":[25],"knowledge":[27,131],"of":[28,46,83,173],"high-resource":[29,180],"domains.":[30,185],"However,":[31],"discrepancy":[33],"between":[34],"different":[35],"causes":[37],"domain":[39,76,126,147,157],"shift":[40],"problem":[41,96],"and":[42,74,92,129,155,166,176,190,198,204],"hampers":[43],"performance":[45,197],"cross-domain":[47,90],"scenarios.":[51,206],"In":[52],"this":[53,103],"article,":[54],"we":[55,63],"first":[56],"propose":[57],"an":[58],"adversarial":[59,66,137,174],"adaptive":[60,77,85,138],"augmentation,":[61],"where":[62],"integrate":[64],"strategy":[67],"into":[68],"a":[69],"multi-task":[70],"learner":[71],"to":[72,87,122,182],"augment":[73],"qualify":[75],"data.":[78,139],"We":[79],"extract":[80,123],"domain-invariant":[81,108],"features":[82,128],"data":[86],"bridge":[88],"gap":[91],"alleviate":[93],"label-sparsity":[95],"simultaneously.":[97],"Therefore,":[98],"another":[99],"important":[100],"component":[101],"article":[104],"is":[105],"progressive":[107],"feature":[109],"distillation":[110],"framework.":[111],"A":[112],"multi-grained":[113],"MMD":[114],"(Maximum":[115],"Mean":[116],"Discrepancy)":[117],"approach":[118],"framework":[121],"multi-level":[125,156],"invariant":[127,158],"enable":[130],"transfer":[132],"across":[133],"through":[135,149],"Advanced":[140],"Knowledge":[141],"Distillation":[142],"(KD)":[143],"schema":[144],"processes":[145],"progressively":[146],"adaptation":[148,178],"powerful":[151],"pre-trained":[152],"language":[153],"models":[154],"features.":[159],"Extensive":[160],"comparative":[161],"experiments":[162],"over":[163],"four":[164,191],"English":[165],"two":[167,188],"Chinese":[168],"benchmarks":[169],"show":[170],"importance":[172],"augmentation":[175],"effective":[177],"from":[179],"Comparison":[186],"vanilla":[189],"latest":[192],"baselines":[193],"indicates":[194],"state-of-the-art":[196],"superiority":[199],"confronted":[200],"both":[202],"zero-resource":[203],"minimal-resource":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}