{"id":"https://openalex.org/W4414883495","doi":"https://doi.org/10.3390/sym17101673","title":"Prototype-Enhanced Few-Shot Relation Extraction Method Based on Cluster Loss Optimization","display_name":"Prototype-Enhanced Few-Shot Relation Extraction Method Based on Cluster Loss Optimization","publication_year":2025,"publication_date":"2025-10-07","ids":{"openalex":"https://openalex.org/W4414883495","doi":"https://doi.org/10.3390/sym17101673"},"language":"en","primary_location":{"id":"doi:10.3390/sym17101673","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101673","pdf_url":"https://www.mdpi.com/2073-8994/17/10/1673/pdf?version=1759811528","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/10/1673/pdf?version=1759811528","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073471568","display_name":"Shenyi Qian","orcid":"https://orcid.org/0000-0002-0076-0099"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenyi Qian","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101674005","display_name":"Bowen Fu","orcid":"https://orcid.org/0000-0002-6608-3510"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Fu","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362919","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0002-3879-1026"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Liu","raw_affiliation_strings":["College of Information and Managment Science, Henan Agricultural University, Zhengzhou 450046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Managment Science, Henan Agricultural University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I4750791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100885472","display_name":"Jin Song-he","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songhe Jin","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059751707","display_name":"Tong Sun","orcid":"https://orcid.org/0000-0003-1361-3888"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Sun","raw_affiliation_strings":["College of Information and Managment Science, Henan Agricultural University, Zhengzhou 450046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Managment Science, Henan Agricultural University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I4750791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457691","display_name":"Zhen Chen","orcid":"https://orcid.org/0000-0002-4566-6338"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["College of Information and Managment Science, Henan Agricultural University, Zhengzhou 450046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Managment Science, Henan Agricultural University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I4750791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083797839","display_name":"Daiyi Li","orcid":"https://orcid.org/0000-0002-3677-4636"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daiyi Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China"],"raw_orcid":"https://orcid.org/0000-0002-3677-4636","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041025969","display_name":"Yifan Sun","orcid":"https://orcid.org/0000-0003-3532-6521"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Sun","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645082","display_name":"Yibing Chen","orcid":"https://orcid.org/0009-0001-6848-2654"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibing Chen","raw_affiliation_strings":["International Business School, Xi\u2019an Jiaotong-Liverpool University, Suzhou 215123, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Business School, Xi\u2019an Jiaotong-Liverpool University, Suzhou 215123, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056215319","display_name":"Yuheng Li","orcid":"https://orcid.org/0009-0004-7402-4432"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuheng Li","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Nanyang Technological University, 50 Nanyang Road, Singapore 639798, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Nanyang Technological University, 50 Nanyang Road, Singapore 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100362919","https://openalex.org/A5100885472"],"corresponding_institution_ids":["https://openalex.org/I23171815","https://openalex.org/I4750791"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13897694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"10","first_page":"1673","last_page":"1673"},"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":0.9886999726295471,"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":0.9886999726295471,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9298999905586243,"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/discriminative-model","display_name":"Discriminative model","score":0.5952000021934509},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5824999809265137},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4925000071525574},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4699999988079071},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46380001306533813},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45350000262260437},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.43209999799728394},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.430400013923645},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4124000072479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7942000031471252},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5952000021934509},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5824999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5037999749183655},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4925000071525574},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46380001306533813},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45350000262260437},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.43209999799728394},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38019999861717224},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2988080768","wikidata":"https://www.wikidata.org/wiki/Q7095057","display_name":"Semantic relation","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym17101673","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101673","pdf_url":"https://www.mdpi.com/2073-8994/17/10/1673/pdf?version=1759811528","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/208359","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/208359","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/sym17101673","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101673","pdf_url":"https://www.mdpi.com/2073-8994/17/10/1673/pdf?version=1759811528","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4030057710","display_name":null,"funder_award_id":"221100210400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4918395192","display_name":null,"funder_award_id":"61672470","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/W4414883495.pdf","grobid_xml":"https://content.openalex.org/works/W4414883495.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W2905471643","https://openalex.org/W2963777632","https://openalex.org/W2971013448","https://openalex.org/W2971136144","https://openalex.org/W2985344461","https://openalex.org/W3094134837","https://openalex.org/W3104390324","https://openalex.org/W3114986498","https://openalex.org/W3144215978","https://openalex.org/W3153427360","https://openalex.org/W3156364014","https://openalex.org/W3158578941","https://openalex.org/W3173376018","https://openalex.org/W3173777717","https://openalex.org/W3194836374","https://openalex.org/W3197439319","https://openalex.org/W3197947753","https://openalex.org/W3201147818","https://openalex.org/W3210770362","https://openalex.org/W4225385501","https://openalex.org/W4280574409","https://openalex.org/W4287890932","https://openalex.org/W4292779060","https://openalex.org/W4293051190","https://openalex.org/W4294974598","https://openalex.org/W4298111738","https://openalex.org/W4324368186","https://openalex.org/W4379117246","https://openalex.org/W4385571956","https://openalex.org/W4385973357","https://openalex.org/W4387431492","https://openalex.org/W4387766181","https://openalex.org/W4388282862","https://openalex.org/W4390420065","https://openalex.org/W4390680645","https://openalex.org/W4391836235","https://openalex.org/W4392875323","https://openalex.org/W4392979977","https://openalex.org/W4393156602","https://openalex.org/W4393160433","https://openalex.org/W4399698007","https://openalex.org/W4399978597","https://openalex.org/W4400261143","https://openalex.org/W4401042670","https://openalex.org/W4401043172","https://openalex.org/W4402192457","https://openalex.org/W4402592976","https://openalex.org/W4406983311","https://openalex.org/W4407025910","https://openalex.org/W4408355729","https://openalex.org/W4408472883","https://openalex.org/W4411112965","https://openalex.org/W4414359558"],"related_works":[],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,24,76,107,116,127,158,168,218,256,287],"few-shot":[3,28,129,288],"relation":[4,38,119,146],"extraction":[5],"(RE)":[6],"is":[7,207],"to":[8,46,49,111,123,137,163,182,209,238,242,280],"recognize":[9],"the":[10,43,54,74,90,104,125,128,151,215,222,240,254,257,262,266,273,285],"relationship":[11,259],"between":[12,56,187],"specific":[13],"entity":[14],"pairs":[15],"in":[16,284],"text":[17],"when":[18],"there":[19],"are":[20,180],"a":[21,33,95,134,198,232,244],"limited":[22],"number":[23],"labeled":[25],"samples.":[26],"A":[27],"RE":[29],"method":[30],"based":[31],"on":[32,42,265],"prototype":[34,99],"network,":[35,100],"which":[36,101],"constructs":[37],"prototypes":[39,189,220],"by":[40,213,227],"relying":[41],"support":[44,57],"set":[45],"assign":[47],"labels":[48],"query":[50,59,211],"samples,":[51],"inherently":[52],"leverages":[53],"symmetry":[55,206],"and":[58,118,145,148,155,172,190,221,268],"processing.":[60],"Although":[61],"these":[62],"methods":[63],"have":[64],"achieved":[65],"remarkable":[66],"results,":[67],"they":[68],"still":[69],"face":[70],"challenges":[71],"such":[72],"as":[73,81,83,122],"misjudging":[75],"noisy":[77],"samples":[78],"or":[79],"outliers,":[80],"well":[82],"distinguishing":[84],"semantic":[85,97,105,153,166],"similarity":[86],"relations.":[87],"To":[88],"address":[89],"aforementioned":[91],"challenges,":[92],"we":[93,132],"propose":[94],"novel":[96],"enhanced":[98],"can":[102],"integrate":[103],"information":[106],"relations":[108],"more":[109,113],"effectively":[110,183,252],"promote":[112],"expressive":[114],"representations":[115,167],"instances":[117,192,212],"prototypes,":[120,171],"so":[121],"improve":[124],"performance":[126,278],"RE.":[130,289],"Firstly,":[131],"design":[133],"prompt":[135,141],"encoder":[136],"uniformly":[138],"process":[139],"different":[140],"templates":[142],"for":[143],"instance":[144,228],"information,":[147],"then":[149],"utilize":[150],"powerful":[152],"understanding":[154],"generation":[156],"capabilities":[157],"large":[159],"language":[160],"models":[161,283],"(LLMs)":[162],"obtain":[164],"precise":[165],"instances,":[169],"their":[170],"conceptual":[173,188,219],"prototypes.":[174,229],"Secondly,":[175],"graph":[176],"attention":[177],"learning":[178,201],"techniques":[179],"introduced":[181],"extract":[184],"specific-relation":[185],"features":[186,217,225],"isomorphic":[191],"while":[193],"maintaining":[194],"structural":[195],"symmetry.":[196],"Meanwhile,":[197],"prototype-level":[199],"contrastive":[200],"strategy":[202],"with":[203,248],"bidirectional":[204],"feature":[205],"proposed":[208,274],"predict":[210],"integrating":[214],"interpretable":[216],"intra-class":[223],"shared":[224],"captured":[226],"In":[230],"addition,":[231],"clustering":[233],"loss":[234],"function":[235],"was":[236],"designed":[237],"guide":[239],"model":[241],"learn":[243],"discriminative":[245],"metric":[246],"space":[247],"improved":[249,277],"relational":[250],"symmetry,":[251],"improving":[253],"accuracy":[255],"model\u2019s":[258],"recognition.":[260],"Finally,":[261],"experimental":[263],"results":[264],"FewRel1.0":[267],"FewRel2.0":[269],"datasets":[270],"show":[271],"that":[272],"approach":[275],"delivers":[276],"compared":[279],"existing":[281],"advanced":[282],"task":[286]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}