{"id":"https://openalex.org/W4367016399","doi":"https://doi.org/10.1109/nnice58320.2023.10105766","title":"MTL-JER: Meta-Transfer Learning for Low-Resource Joint Entity and Relation Extraction","display_name":"MTL-JER: Meta-Transfer Learning for Low-Resource Joint Entity and Relation Extraction","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4367016399","doi":"https://doi.org/10.1109/nnice58320.2023.10105766"},"language":"en","primary_location":{"id":"doi:10.1109/nnice58320.2023.10105766","doi":"https://doi.org/10.1109/nnice58320.2023.10105766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnice58320.2023.10105766","pdf_url":null,"source":{"id":"https://openalex.org/S4363608525","display_name":"International Conference on Neural Networks, Information and Communication Engineering (NNICE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5054776254","display_name":"Peng Da","orcid":"https://orcid.org/0000-0002-7230-4906","observed_orcids":["https://orcid.org/0000-0002-7230-4906"]},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Peng","raw_affiliation_strings":["Space Engineering University,Science and Technology on Complex Electronic System Simulation Laboratory,Beijing,China","Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University,Science and Technology on Complex Electronic System Simulation Laboratory,Beijing,China","institution_ids":["https://openalex.org/I4210148107"]},{"raw_affiliation_string":"Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018836","display_name":"Zhongmin Pei","orcid":"https://orcid.org/0000-0002-6228-0533","observed_orcids":["https://orcid.org/0000-0002-6228-0533","https://orcid.org/0009-0009-5459-5162"]},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongmin Pei","raw_affiliation_strings":["Space Engineering University,Science and Technology on Complex Electronic System Simulation Laboratory,Beijing,China","Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University,Science and Technology on Complex Electronic System Simulation Laboratory,Beijing,China","institution_ids":["https://openalex.org/I4210148107"]},{"raw_affiliation_string":"Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"last","author":{"id":null,"display_name":"Delin Mo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210150966","display_name":"War Studies Academy","ror":"https://ror.org/05113d564","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210150966"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Delin Mo","raw_affiliation_strings":["Institute of War Studies Academy of Military Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of War Studies Academy of Military Sciences","institution_ids":["https://openalex.org/I4210150966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1105,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26502952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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":0.9965999722480774,"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":0.000699999975040555,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/joint-entity-and-relation-extraction","display_name":"joint entity and relation extraction","score":0.9959999918937683},{"id":"https://openalex.org/keywords/meta-learning","display_name":"meta-learning","score":0.8169999718666077},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7300000190734863},{"id":"https://openalex.org/keywords/resource-limited-settings","display_name":"resource-limited settings","score":0.7509999871253967},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.7850000262260437},{"id":"https://openalex.org/keywords/pre-trained-language-models","display_name":"pre-trained language models","score":0.7350000143051147},{"id":"https://openalex.org/keywords/knowledge-graph-construction","display_name":"knowledge graph construction","score":0.8180000185966492},{"id":"https://openalex.org/keywords/document-understanding","display_name":"document understanding","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.9244009852409363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8505904674530029},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6442049741744995},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5981569886207581},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.591900646686554},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5859706401824951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055210590362549},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5025012493133545},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4925433099269867},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.48933547735214233},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.47903695702552795},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.46892812848091125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46293893456459045},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4016050696372986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38750606775283813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2985832691192627},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nnice58320.2023.10105766","doi":"https://doi.org/10.1109/nnice58320.2023.10105766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnice58320.2023.10105766","pdf_url":null,"source":{"id":"https://openalex.org/S4363608525","display_name":"International Conference on Neural Networks, Information and Communication Engineering (NNICE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W2132516856","https://openalex.org/W2134033474","https://openalex.org/W2162590473","https://openalex.org/W2604763608","https://openalex.org/W2739874095","https://openalex.org/W2914752403","https://openalex.org/W2949972983","https://openalex.org/W2953111196","https://openalex.org/W2963718112","https://openalex.org/W2963777632","https://openalex.org/W2970678056","https://openalex.org/W2979826702","https://openalex.org/W2997197207","https://openalex.org/W3005700362","https://openalex.org/W3034902017","https://openalex.org/W3042667808","https://openalex.org/W3090145439","https://openalex.org/W3116427155","https://openalex.org/W3130164045","https://openalex.org/W3210215371","https://openalex.org/W4283802662"],"related_works":["https://openalex.org/W2891935547","https://openalex.org/W2963569987","https://openalex.org/W7132843742","https://openalex.org/W4221156858","https://openalex.org/W2996825178","https://openalex.org/W7125417874","https://openalex.org/W3152746826","https://openalex.org/W4411471082","https://openalex.org/W7131787096","https://openalex.org/W4406744807"],"abstract_inverted_index":{"Joint":[0,168],"entity":[1,23,73,134],"and":[2,15,24,74,80,93,116,135,170],"relation":[3,25,75],"extraction":[4,26,76],"has":[5],"achieved":[6],"impressive":[7],"advances":[8],"in":[9,53,63,108,173,176],"NLP,":[10],"such":[11],"as":[12],"document":[13],"understanding":[14],"knowledge":[16,52],"graph":[17],"construction.":[18],"The":[19],"typical":[20],"methods":[21],"for":[22,39,167],"typically":[27],"break":[28],"down":[29],"the":[30,50,54,61,68,125,128,147],"joint":[31,72,133],"task":[32],"into":[33],"several":[34],"smaller":[35],"components":[36],"or":[37],"stages":[38],"ease":[40],"of":[41,49,70],"implementation,":[42],"but":[43],"this":[44,98,177],"leads":[45],"to":[46,59,86,123,131,153],"a":[47,71,163],"loss":[48],"interconnected":[51],"triple.":[55],"Hence,":[56],"we":[57,100,144,185],"propose":[58],"model":[60,126,189],"triple":[62],"one":[64],"module":[65],"jointly.":[66],"Furthermore,":[67],"labeling":[69],"tasks":[77],"is":[78,84],"costly":[79],"domain-specific;":[81],"therefore,":[82],"it":[83,152],"important":[85],"improve":[87,146],"its":[88],"performance":[89],"on":[90,113,141,182],"low-resource":[91,174],"data":[92,115],"domain":[94],"adaption.":[95],"To":[96],"address":[97],"issue,":[99],"suggest":[101],"using":[102],"two":[103],"sources":[104],"that":[105,187],"are":[106],"rich":[107],"information,":[109],"namely":[110],"pre-trained":[111],"models":[112],"large":[114],"multi-domain":[117,142],"text":[118],"corpora.":[119],"Pretraining":[120],"allows":[121],"us":[122],"provide":[124],"with":[127,157],"fundamental":[129],"ability":[130],"perform":[132,154],"relationship":[136],"extraction.":[137],"Second,":[138],"through":[139],"meta-learning":[140],"text,":[143],"can":[145],"model's":[148],"generalization":[149],"capabilities,":[150],"enabling":[151],"well":[155],"even":[156],"limited":[158],"data.":[159],"We":[160],"present":[161],"MTL-JER,":[162],"Meta-Transfer":[164],"Learning":[165],"method":[166],"Entity":[169],"Relation":[171],"Extraction":[172],"settings":[175],"paper.":[178],"Using":[179],"exhaustive":[180],"experiments":[181],"five":[183],"datasets,":[184],"prove":[186],"our":[188],"obtains":[190],"optimal":[191],"results.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-04-27T00:00:00"}
