{"id":"https://openalex.org/W3090245986","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207121","title":"Pre-trained Language Models with Limited Data for Intent Classification","display_name":"Pre-trained Language Models with Limited Data for Intent Classification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090245986","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207121","mag":"3090245986"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003675885","display_name":"Buddhika Kasthuriarachchy","orcid":"https://orcid.org/0000-0002-3691-589X"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Buddhika Kasthuriarachchy","raw_affiliation_strings":["School of Science, Engineering and Information Technology, Federation University Australia, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Engineering and Information Technology, Federation University Australia, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070425791","display_name":"Madhu Chetty","orcid":"https://orcid.org/0000-0001-7052-0413"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Madhu Chetty","raw_affiliation_strings":["School of Science, Engineering and Information Technology, Federation University Australia, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Engineering and Information Technology, Federation University Australia, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030839425","display_name":"Gour Karmakar","orcid":"https://orcid.org/0000-0002-1308-7315"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gour Karmakar","raw_affiliation_strings":["School of Science, Engineering and Information Technology, Federation University Australia, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Engineering and Information Technology, Federation University Australia, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006257804","display_name":"Darren Walls","orcid":"https://orcid.org/0009-0009-3555-3135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Darren Walls","raw_affiliation_strings":["Global Hosts Pty Ltd (trading as SportsHosts), Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Hosts Pty Ltd (trading as SportsHosts), Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73738759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9958999752998352,"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/T10260","display_name":"Software Engineering Research","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8354483842849731},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6291773915290833},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6224462985992432},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.566098153591156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5520737171173096},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5294199585914612},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5151659250259399},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.45075082778930664},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.43626904487609863},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4296911060810089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4289747178554535},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1194750964641571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354483842849731},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6291773915290833},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6224462985992432},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.566098153591156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5520737171173096},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5294199585914612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5151659250259399},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.45075082778930664},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.43626904487609863},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4296911060810089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4289747178554535},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1194750964641571},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:vital:14841","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/174468","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2048616366","https://openalex.org/W2078136197","https://openalex.org/W2093990026","https://openalex.org/W2097726431","https://openalex.org/W2104071108","https://openalex.org/W2147152072","https://openalex.org/W2153353890","https://openalex.org/W2153579005","https://openalex.org/W2158899491","https://openalex.org/W2196791692","https://openalex.org/W2250539671","https://openalex.org/W2253491900","https://openalex.org/W2493916176","https://openalex.org/W2525778437","https://openalex.org/W2807945507","https://openalex.org/W2888329843","https://openalex.org/W2896457183","https://openalex.org/W2910243263","https://openalex.org/W2923014074","https://openalex.org/W2943552823","https://openalex.org/W2952230511","https://openalex.org/W2962739339","https://openalex.org/W2962784628","https://openalex.org/W2962825174","https://openalex.org/W2963026768","https://openalex.org/W2963216553","https://openalex.org/W2963310665","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2970641574","https://openalex.org/W2972324944","https://openalex.org/W2980708516","https://openalex.org/W2990704537","https://openalex.org/W4205184193","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6682691769","https://openalex.org/W6683738474","https://openalex.org/W6691560280","https://openalex.org/W6695909211","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6762392948"],"related_works":["https://openalex.org/W3049463507","https://openalex.org/W2936497627","https://openalex.org/W4288365749","https://openalex.org/W3013624417","https://openalex.org/W4287826556","https://openalex.org/W4287598411","https://openalex.org/W3098382480","https://openalex.org/W3198458223","https://openalex.org/W4288267738","https://openalex.org/W3126642501"],"abstract_inverted_index":{"Intent":[0],"analysis":[1,60,217],"is":[2,180,233],"capturing":[3],"the":[4,8,35,42,53,58,69,100,112,115,127,149,152,156,160,167,184,199,228],"attention":[5,90],"of":[6,22,25,65,102,114,155],"both":[7],"industry":[9],"and":[10,16,31,49,122,171,176],"academia":[11],"due":[12,129],"to":[13,125,130,158,211],"its":[14,105],"commercial":[15],"noncommercial":[17],"significance.":[18],"The":[19],"rapid":[20],"growth":[21],"unstructured":[23],"data":[24,45,67,132,139,172,193,210],"micro-blogging":[26],"platforms,":[27],"such":[28],"as":[29],"Twitter":[30],"Facebook,":[32],"are":[33,46,72],"amongst":[34],"important":[36],"sources":[37],"for":[38,91,104,107,169,182,188],"intent":[39,59,108,161,189,216],"analysis.":[40,109],"However,":[41],"social":[43,208],"media":[44,209],"often":[47,73],"noisy":[48,207,237],"diverse,":[50],"thus":[51],"making":[52],"task":[54],"very":[55],"challenging.":[56],"Further,":[57],"frequently":[61],"suffers":[62],"from":[63,81],"lack":[64],"sufficient":[66],"because":[68],"labeled":[70],"datasets":[71],"manually":[74],"annotated.":[75],"Recently,":[76],"BERT":[77,103,116,187],"(Bidirectional":[78],"Encoder":[79],"Representation":[80],"Transformers),":[82],"a":[83,136,174],"state-of-the-art":[84,213],"language":[85,93,201],"representation":[86],"model,":[87],"has":[88],"attracted":[89],"accurate":[92],"modelling.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"investigate":[99,123],"application":[101],"suitability":[106],"We":[110],"study":[111],"fine-tuning":[113],"model":[117,186],"through":[118],"inductive":[119],"transfer":[120],"learning":[121],"methods":[124],"overcome":[126],"challenges":[128],"limited":[131,192],"availability":[133],"by":[134],"proposing":[135],"novel":[137,177],"semantic":[138,153],"augmentation":[140,231],"approach.":[141],"This":[142],"technique":[143,232],"generates":[144],"synthetic":[145,238],"sentences":[146],"while":[147],"preserving":[148],"label-compatibility":[150],"using":[151],"meaning":[154],"sentences,":[157,239],"improve":[159],"classification":[162,190],"accuracy.":[163],"Thus,":[164],"based":[165],"on":[166],"considerations":[168],"finetuning":[170],"augmentation,":[173],"systematic":[175],"step-by-step":[178],"methodology":[179],"presented":[181],"applying":[183],"linguistic":[185],"with":[191,206],"available.":[194],"Our":[195],"results":[196,224],"show":[197],"that":[198,227],"pre-trained":[200],"can":[202],"be":[203],"effectively":[204],"used":[205],"achieve":[212],"accuracy":[214],"in":[215,235],"under":[218],"low":[219],"labeled-data":[220],"regime.":[221],"Moreover,":[222],"our":[223],"also":[225],"confirm":[226],"proposed":[229],"text":[230],"effective":[234],"eliminating":[236],"thereby":[240],"achieving":[241],"further":[242],"performance":[243],"improvements.":[244]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
