{"id":"https://openalex.org/W4413941648","doi":"https://doi.org/10.1145/3765749","title":"Continuous Adaptive Knowledge Distillation for Few-Shot Relation Extraction","display_name":"Continuous Adaptive Knowledge Distillation for Few-Shot Relation Extraction","publication_year":2025,"publication_date":"2025-09-03","ids":{"openalex":"https://openalex.org/W4413941648","doi":"https://doi.org/10.1145/3765749"},"language":"en","primary_location":{"id":"doi:10.1145/3765749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765749","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3765749","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":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3765749","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113377810","display_name":"Shuo Zhao","orcid":"https://orcid.org/0009-0006-3640-7285"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Zhao","raw_affiliation_strings":["School of Information, North China University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056722570","display_name":"Jianyong Duan","orcid":"https://orcid.org/0000-0002-2244-3764"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Duan","raw_affiliation_strings":["North China University of Technology"],"affiliations":[{"raw_affiliation_string":"North China University of Technology","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104174131","display_name":"Li He","orcid":"https://orcid.org/0009-0004-7812-6217"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li He","raw_affiliation_strings":["CNONIX National Standard Application and Promotion Lab","North China University of Technology"],"affiliations":[{"raw_affiliation_string":"CNONIX National Standard Application and Promotion Lab","institution_ids":[]},{"raw_affiliation_string":"North China University of Technology","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599817","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-0896-080X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["North China University of Technology"],"affiliations":[{"raw_affiliation_string":"North China University of Technology","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358801","display_name":"Qing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086149","display_name":"Standard Bio (Norway)","ror":"https://ror.org/00njcfy31","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086149"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["School of Information Science and Technology, CNONIX National Standard Application and Promotion Laboratory, North China University of Technology","School of Information Science and Technology, CNONIX National Standard Application and Promotion Laboratory,, North China University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, CNONIX National Standard Application and Promotion Laboratory, North China University of Technology","institution_ids":["https://openalex.org/I4210086149"]},{"raw_affiliation_string":"School of Information Science and Technology, CNONIX National Standard Application and Promotion Laboratory,, North China University of Technology","institution_ids":["https://openalex.org/I4210086149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731156","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-5953-4566"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Information Engineering College, Capital Normal University"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Capital Normal University","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113377810"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11917627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"10","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.995199978351593,"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":0.995199978351593,"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":0.9915000200271606,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9825999736785889,"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/distillation","display_name":"Distillation","score":0.695046603679657},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6666337251663208},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6381652355194092},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6022406816482544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.494351863861084},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.4252108037471771},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.313138484954834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18281716108322144},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17955681681632996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17445901036262512}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.695046603679657},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6666337251663208},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6381652355194092},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6022406816482544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.494351863861084},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.4252108037471771},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.313138484954834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18281716108322144},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17955681681632996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17445901036262512},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3765749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765749","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3765749","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":{"id":"doi:10.1145/3765749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765749","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3765749","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6679863786","display_name":null,"funder_award_id":"62476007,U23B2029","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413941648.pdf","grobid_xml":"https://content.openalex.org/works/W4413941648.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2060277733","https://openalex.org/W2759211898","https://openalex.org/W2963341956","https://openalex.org/W2963777632","https://openalex.org/W2979826702","https://openalex.org/W3104390324","https://openalex.org/W3156636935","https://openalex.org/W3174091926","https://openalex.org/W4221144220","https://openalex.org/W4225908005","https://openalex.org/W4385570671","https://openalex.org/W4385571156","https://openalex.org/W4385571316","https://openalex.org/W4385571646","https://openalex.org/W4385571956","https://openalex.org/W4389519807","https://openalex.org/W4389520264","https://openalex.org/W4401043172","https://openalex.org/W4402670156","https://openalex.org/W4402671097","https://openalex.org/W4402671702","https://openalex.org/W4402671961"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W3085764877","https://openalex.org/W2514414740","https://openalex.org/W2377414158","https://openalex.org/W3199615306","https://openalex.org/W77207468","https://openalex.org/W3212781313","https://openalex.org/W124863575","https://openalex.org/W3203147184","https://openalex.org/W2037691954"],"abstract_inverted_index":{"The":[0,33],"goal":[1],"of":[2,29,39],"continuous":[3,137],"few-shot":[4,138,150],"relation":[5,16,139],"extraction":[6,140],"is":[7],"to":[8,12,45,89,117],"enable":[9],"the":[10,27,77,92,113,132],"model":[11,58,93],"continuously":[13],"learn":[14],"new":[15,104],"types":[17],"under":[18],"conditions":[19],"with":[20,64],"limited":[21],"labeled":[22],"training":[23],"data":[24,46,151],"while":[25],"avoiding":[26],"forgetting":[28,38],"previously":[30],"learned":[31],"relations.":[32],"primary":[34],"challenges":[35],"include":[36],"catastrophic":[37],"old":[40],"relations":[41],"and":[42,85,96,152],"overfitting":[43,119],"due":[44],"sparsity.":[47],"To":[48],"address":[49],"these":[50],"challenges,":[51],"this":[52],"article":[53],"proposes":[54],"a":[55,72],"hierarchical":[56],"distillation":[57,63,67,74,79,111,115],"that":[59,91,126],"innovatively":[60],"combines":[61],"contrastive":[62,73],"orthogonal":[65,109],"adversarial":[66,110],"techniques.":[68],"Specifically,":[69],"we":[70,107],"introduce":[71],"approach":[75],"in":[76,112,120,148],"feature":[78],"layer,":[80],"integrating":[81],"adaptive":[82],"cosine":[83],"techniques":[84],"negative":[86],"sampling":[87],"strategies":[88],"ensure":[90],"effectively":[94],"retains":[95],"utilizes":[97],"knowledge":[98,153],"from":[99],"previous":[100],"tasks":[101],"when":[102],"learning":[103],"ones.":[105],"Additionally,":[106],"employ":[108],"hidden":[114],"layer":[116],"alleviate":[118],"low-resource":[121],"scenarios.":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"our":[127],"proposed":[128],"method":[129],"significantly":[130],"outperforms":[131],"current":[133],"state-of-the-art":[134],"models":[135],"for":[136],"on":[141],"two":[142],"benchmark":[143],"datasets,":[144],"validating":[145],"its":[146],"effectiveness":[147],"handling":[149],"transfer.":[154]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}