{"id":"https://openalex.org/W4399156327","doi":"https://doi.org/10.1145/3660043.3660198","title":"A Hierarchical Prototype Contrastive Learning based Few-Shot Entity Typing Approach","display_name":"A Hierarchical Prototype Contrastive Learning based Few-Shot Entity Typing Approach","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399156327","doi":"https://doi.org/10.1145/3660043.3660198"},"language":"en","primary_location":{"id":"doi:10.1145/3660043.3660198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","raw_type":"proceedings-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/A5048349706","display_name":"Yong Ji","orcid":"https://orcid.org/0009-0001-4494-8966"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Ji","raw_affiliation_strings":["Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030324632","display_name":"Shaoqing Tan","orcid":"https://orcid.org/0009-0000-2803-0605"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoqing Tan","raw_affiliation_strings":["Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098939640","display_name":"Fuchao Ai","orcid":"https://orcid.org/0009-0006-6806-4117"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchao Ai","raw_affiliation_strings":["Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046194271","display_name":"Tengfei Sun","orcid":"https://orcid.org/0009-0002-1024-7296"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Sun","raw_affiliation_strings":["Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102746632","display_name":"Yu Qiang","orcid":"https://orcid.org/0009-0000-0773-120X"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yu","raw_affiliation_strings":["Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034445002","display_name":"Jun Yu","orcid":"https://orcid.org/0009-0001-0336-0322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Ruixin Technology (Hebei Xiong'an) Co., Ltd, China"],"affiliations":[{"raw_affiliation_string":"Ruixin Technology (Hebei Xiong'an) Co., Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066977310","display_name":"Keyi Wei","orcid":"https://orcid.org/0009-0004-0350-4703"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyi Wei","raw_affiliation_strings":["School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048349706"],"corresponding_institution_ids":["https://openalex.org/I4210126065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23019929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"876","last_page":"881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9990000128746033,"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":0.8566820621490479},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6207747459411621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6090962290763855},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5694661736488342},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5615646839141846},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5255932807922363},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4945339858531952},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48592010140419006},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3347349166870117},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.19180002808570862},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10787034034729004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566820621490479},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6207747459411621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6090962290763855},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5694661736488342},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5615646839141846},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5255932807922363},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4945339858531952},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48592010140419006},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3347349166870117},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.19180002808570862},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10787034034729004},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660043.3660198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2406945108","https://openalex.org/W2946531303","https://openalex.org/W2962756504","https://openalex.org/W2963341956","https://openalex.org/W3022061250","https://openalex.org/W3117234969","https://openalex.org/W3213053518","https://openalex.org/W4205991051","https://openalex.org/W4283721470","https://openalex.org/W4309811444"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725","https://openalex.org/W2350084742","https://openalex.org/W3140537242","https://openalex.org/W2357988862","https://openalex.org/W2485077425","https://openalex.org/W4390279576"],"abstract_inverted_index":{"The":[0,141],"entity":[1,11,30,46,83],"typing":[2,84],"task":[3],"aims":[4],"to":[5,112,122,135],"infer":[6],"the":[7,39,43,48,56,61,75,129,146,153,160],"types":[8,137],"of":[9,22,45,58,74],"named":[10],"mentions":[12],"in":[13,42,138],"a":[14,19,81,93,98,120],"specific":[15],"context.":[16],"It":[17,102],"is":[18,69,149,169],"fundamental":[20],"component":[21],"many":[23],"downstream":[24],"text":[25,34],"mining":[26],"tasks,":[27],"such":[28],"as":[29],"linking,":[31],"Q&A":[32],"systems,":[33],"classification,":[35],"etc.":[36],"But":[37],"with":[38],"gradual":[40],"increase":[41],"number":[44],"types,":[47],"type":[49,104,124],"system":[50],"becomes":[51],"more":[52,54,150],"and":[53,65,97,115,156,167,172],"huge,":[55],"difficulty":[57],"manually":[59],"labeling":[60],"corpus":[62],"increases":[63],"dramatically":[64],"high-quality":[66],"training":[67],"data":[68],"extremely":[70],"scarce.":[71],"In":[72],"view":[73],"above":[76],"problems,":[77],"this":[78],"paper":[79],"proposes":[80],"few-shot":[82],"approach":[85,148],"combining":[86],"hierarchical":[87,105],"prototype":[88,109],"contrastive":[89,110],"learning":[90,100,111],"based":[91],"on":[92,159],"pretrained":[94],"language":[95],"model":[96],"prompt":[99,139],"framework.":[101],"models":[103],"relationships":[106],"through":[107],"multi-granularity":[108],"obtain":[113],"richer":[114],"finer-grained":[116],"type-level":[117],"semantics.":[118],"As":[119],"supplement":[121],"additional":[123],"information,":[125],"it":[126],"further":[127],"enhances":[128],"components":[130],"that":[131,145],"will":[132],"be":[133],"mapped":[134],"labeled":[136],"learning.":[140],"experiment":[142],"results":[143],"show":[144],"proposed":[147],"stable":[151],"than":[152,175],"existing":[154],"approaches":[155],"its":[157],"accuracy":[158],"three":[161],"baseline":[162],"datasets":[163],"Ontonotes":[164],"5.0,":[165],"BBN":[166],"Few-NERD":[168],"3.8%,":[170],"3.36%":[171],"4.14%":[173],"higher":[174],"ALIGNIE":[176],"respectively.":[177]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}