{"id":"https://openalex.org/W4403363288","doi":"https://doi.org/10.1080/08839514.2024.2414483","title":"Enhancing Intent Classifier Training with Large Language Model-generated Data","display_name":"Enhancing Intent Classifier Training with Large Language Model-generated Data","publication_year":2024,"publication_date":"2024-10-13","ids":{"openalex":"https://openalex.org/W4403363288","doi":"https://doi.org/10.1080/08839514.2024.2414483"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2414483","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2414483","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2024.2414483","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017513252","display_name":"Alberto Benayas","orcid":"https://orcid.org/0000-0003-3574-7502"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Alberto Benayas","raw_affiliation_strings":["Computer Science, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114245437","display_name":"Sicilia Miguel-\u00c1ngel","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sicilia Miguel-\u00c1ngel","raw_affiliation_strings":["Computer Science, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3067-4180","affiliations":[{"raw_affiliation_string":"Computer Science, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014865652","display_name":"Mar\u00e7al Mora\u2010Cantallops","orcid":"https://orcid.org/0000-0002-2480-1078"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mar\u00e7al Mora-Cantallops","raw_affiliation_strings":["Computer Science, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2480-1078","affiliations":[{"raw_affiliation_string":"Computer Science, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017513252"],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":1.3496,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83520602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"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":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9904999732971191,"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":0.9045843482017517},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6608915328979492},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5827087759971619},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5696792006492615},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5670751929283142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.52409827709198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5175408720970154},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4609428644180298},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3224247097969055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9045843482017517},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6608915328979492},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5827087759971619},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5696792006492615},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5670751929283142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.52409827709198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5175408720970154},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4609428644180298},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3224247097969055},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/08839514.2024.2414483","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2414483","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ebuah.uah.es:10017/68228","is_oa":true,"landing_page_url":"http://hdl.handle.net/10017/68228","pdf_url":"https://ebuah.uah.es/dspace/bitstream/10017/68228/4/Enhancing_Benayas_AppArtInt_2024.pdf","source":{"id":"https://openalex.org/S7407055200","display_name":"e_Buah","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:0fca1df90e344dc8bdc93ab9ecc97254","is_oa":false,"landing_page_url":"https://doaj.org/article/0fca1df90e344dc8bdc93ab9ecc97254","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2414483","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2414483","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1607035479","https://openalex.org/W2077302143","https://openalex.org/W2559655401","https://openalex.org/W2803609229","https://openalex.org/W2889636191","https://openalex.org/W2954996726","https://openalex.org/W2963216553","https://openalex.org/W2965373594","https://openalex.org/W2970641574","https://openalex.org/W2971296908","https://openalex.org/W2978017171","https://openalex.org/W2999905431","https://openalex.org/W3022089060","https://openalex.org/W3092560821","https://openalex.org/W3116878798","https://openalex.org/W3174828871","https://openalex.org/W3180181113","https://openalex.org/W3201915713","https://openalex.org/W3208213519","https://openalex.org/W4224308101","https://openalex.org/W4226399820","https://openalex.org/W4229907684","https://openalex.org/W4292779060","https://openalex.org/W4293403182","https://openalex.org/W4297683418","https://openalex.org/W4317611844","https://openalex.org/W4366548330","https://openalex.org/W4384918448","https://openalex.org/W4385571765","https://openalex.org/W4385572438","https://openalex.org/W4392828339","https://openalex.org/W4392929841","https://openalex.org/W4401484139","https://openalex.org/W4402683732","https://openalex.org/W4402703589","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W4394050964","https://openalex.org/W2981877337","https://openalex.org/W2551249631","https://openalex.org/W3203938600","https://openalex.org/W2169074127","https://openalex.org/W2163707935","https://openalex.org/W83146503","https://openalex.org/W202723009","https://openalex.org/W2188612292","https://openalex.org/W4287644835"],"abstract_inverted_index":{"Intent":[0],"classification":[1],"is":[2,31,45],"essential":[3],"in":[4,64,70,143,157],"Natural":[5],"Language":[6,97],"Processing,":[7],"serving":[8],"applications":[9],"like":[10],"virtual":[11],"assistants":[12],"and":[13,47,136],"customer":[14],"service":[15],"by":[16,34,53],"categorizing":[17],"user":[18],"inputs":[19],"into":[20,150],"predefined":[21],"classes.":[22],"Despite":[23],"its":[24,118],"importance,":[25],"the":[26,35,74,93],"effectiveness":[27],"of":[28,37,77,95],"intent":[29,105,121],"classifiers":[30],"often":[32],"constrained":[33],"scarcity":[36],"labeled":[38,101],"data,":[39,138],"as":[40],"acquiring":[41],"substantial,":[42],"annotated":[43],"datasets":[44,55],"costly":[46],"impractical.":[48],"Data":[49],"augmentation":[50,82,126],"addresses":[51],"this":[52],"expanding":[54],"with":[56],"modified":[57],"or":[58],"synthetic":[59],"examples,":[60],"a":[61],"common":[62],"practice":[63],"computer":[65],"vision":[66],"but":[67,87],"more":[68],"complex":[69],"NLP":[71,80,155],"due":[72],"to":[73,103],"discrete":[75],"nature":[76],"language.":[78],"Traditional":[79],"data":[81,102,111],"methods":[83],"have":[84],"been":[85],"explored":[86],"exhibit":[88],"limitations.":[89],"This":[90],"paper":[91],"investigates":[92],"use":[94],"Large":[96],"Models":[98],"for":[99,154],"generating":[100],"enhance":[104],"classification.":[106],"We":[107],"explore":[108],"whether":[109],"LLM-generated":[110],"can":[112,133],"effectively":[113],"augment":[114],"training":[115],"sets,":[116],"comparing":[117],"impact":[119],"on":[120],"classifier":[122,141],"performance":[123],"against":[124],"traditional":[125],"methods.":[127],"Our":[128],"study":[129],"reveals":[130],"that":[131],"LLMs":[132],"generate":[134],"diverse":[135],"realistic":[137],"potentially":[139],"improving":[140],"accuracy":[142],"low-data":[144],"scenarios,":[145],"thereby":[146],"providing":[147],"valuable":[148],"insights":[149],"leveraging":[151],"generative":[152],"AI":[153],"tasks":[156],"real-world":[158],"applications.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
