乐胖代购免代理版

{"id":"https://openalex.org/W4224923214","doi":"https://doi.org/10.24963/ijcai.2022/617","title":"Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection","display_name":"Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4224923214","doi":"https://doi.org/10.24963/ijcai.2022/617"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/617","pdf_url":"https://www.ijcai.org/proceedings/2022/0617.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"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},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0617.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024987539","display_name":"Fengyi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyi Yang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612275","display_name":"Xi Zhou","orcid":"https://orcid.org/0000-0003-2867-1765"},"institutions":[{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhou","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602926","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0001-6880-5831"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"raw_affiliation_string":"Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","institution_ids":[]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023854182","display_name":"Abibulla Atawulla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abibulla Atawulla","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034137121","display_name":"Ran Bi","orcid":"https://orcid.org/0000-0003-2182-9136"},"institutions":[{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Bi","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.928,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.53674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"4447","last_page":"4453"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958,"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":0.9958,"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/T10028","display_name":"Topic Modeling","score":0.9955,"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":0.9884,"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/benchmark","display_name":"Benchmark (surveying)","score":0.65611815},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.527553},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.47543883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122262},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.65611815},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.61815596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59180063},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5753741},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.54250115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.527553},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.50868875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48638895},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.47762054},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.47543883},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09414053},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/617","pdf_url":"https://www.ijcai.org/proceedings/2022/0617.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/617","pdf_url":"https://www.ijcai.org/proceedings/2022/0617.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"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},"sustainable_development_goals":[{"score":0.64,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2194775991","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2896457183","https://openalex.org/W2905471643","https://openalex.org/W2921312604","https://openalex.org/W2951615109","https://openalex.org/W2962858681","https://openalex.org/W2963341924","https://openalex.org/W2964071174","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2971013448","https://openalex.org/W2989701968","https://openalex.org/W2997820257","https://openalex.org/W3014333092","https://openalex.org/W3038105747","https://openalex.org/W3108508289","https://openalex.org/W3156104344","https://openalex.org/W3176020109","https://openalex.org/W3188976178","https://openalex.org/W4297683418"],"related_works":["https://openalex.org/W4321353415","https://openalex.org/W4214877189","https://openalex.org/W2980279061","https://openalex.org/W2773965352","https://openalex.org/W2745001401","https://openalex.org/W2381179799","https://openalex.org/W2378211422","https://openalex.org/W2366718574","https://openalex.org/W2334685461","https://openalex.org/W2074502265"],"abstract_inverted_index":{"Few-shot":[0,36],"Intent":[1,37],"Detection":[2,38],"(FSID)":[3],"is":[4,60],"a":[5,114,130],"challenging":[6],"task":[7,40],"in":[8,31,109],"dialogue":[9],"systems":[10],"due":[11],"to":[12,33,66,86,128],"the":[13,34,53,68,96,110,140],"scarcity":[14],"of":[15,52,56,70,98,107,135,142],"available":[16],"annotated":[17],"utterances.":[18],"Although":[19],"existing":[20,169],"few-shot":[21],"learning":[22],"approaches":[23],"have":[24],"made":[25],"remarkable":[26],"progress,":[27],"they":[28],"fall":[29],"short":[30],"adapting":[32],"Generalized":[35],"(GFSID)":[39],"where":[41],"both":[42,146,177],"seen":[43],"and":[44,119,148,172],"unseen":[45],"classes":[46],"are":[47],"present.":[48],"A":[49],"core":[50],"problem":[51],"simultaneous":[54],"existence":[55],"these":[57,122],"two":[58,157,178],"tasks":[59],"that":[61,164],"limited":[62],"training":[63],"samples":[64,108],"fail":[65],"cover":[67],"diversity":[69,88,97,105,115],"user":[71],"expressions.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,151],"propose":[77],"an":[78],"effective":[79],"Diversity":[80],"Features":[81],"Enhanced":[82],"Prototypical":[83],"Network":[84],"(DFEPN)":[85],"enhance":[87],"features":[89,106,123],"for":[90],"novel":[91],"intents":[92],"by":[93],"fully":[94],"exploiting":[95],"known":[99],"intent":[100,159],"samples.":[101],"Specially,":[102],"DFEPN":[103],"generates":[104],"hidden":[111],"space":[112],"via":[113],"feature":[116],"generator":[117],"module":[118],"then":[120],"fuses":[121],"with":[124],"original":[125],"support":[126],"vectors":[127],"get":[129],"more":[131],"suitable":[132],"prototype":[133],"vector":[134],"each":[136],"class.":[137],"To":[138],"evaluate":[139],"effectiveness":[141],"our":[143,165],"model":[144,167],"on":[145,156,176],"FSID":[147],"GFSID":[149],"tasks,":[150],"carry":[152],"out":[153],"sufficient":[154],"experiments":[155],"benchmark":[158],"detection":[160],"datasets.":[161],"Results":[162],"demonstrate":[163],"proposed":[166],"outperforms":[168],"state-of-the-art":[170],"methods":[171],"keeps":[173],"stable":[174],"performance":[175],"tasks.":[179]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4224923214","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-01-20T08:19:54.678845","created_date":"2022-04-28"}