{"id":"https://openalex.org/W4225729334","doi":"https://doi.org/10.1109/icassp43922.2022.9746725","title":"A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets","display_name":"A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225729334","doi":"https://doi.org/10.1109/icassp43922.2022.9746725"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746725","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5054462082","display_name":"Zvi Kons","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zvi Kons","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089929977","display_name":"Aharon Satt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aharon Satt","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110252428","display_name":"Hong-Kwang Jeff Kuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong-Kwang Kuo","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101787514","display_name":"Samuel Thomas","orcid":"https://orcid.org/0000-0001-7573-0620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Thomas","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016326349","display_name":"Boaz Carmeli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boaz Carmeli","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053864983","display_name":"Ron Hoory","orcid":"https://orcid.org/0009-0006-1327-5160"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ron Hoory","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003725957","display_name":"Brian Kingsbury","orcid":"https://orcid.org/0000-0002-1343-6837"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Kingsbury","raw_affiliation_strings":["IBM Research AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"7632","last_page":"7636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9674999713897705,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9674999713897705,"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/T10860","display_name":"Speech and Audio Processing","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9581999778747559,"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/conversation","display_name":"Conversation","score":0.9004238843917847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8008309602737427},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4705657660961151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.448773056268692},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.436532199382782},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07449477910995483},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.06877684593200684}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.9004238843917847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008309602737427},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4705657660961151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.448773056268692},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.436532199382782},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07449477910995483},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.06877684593200684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746725","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":16,"referenced_works":["https://openalex.org/W2091364293","https://openalex.org/W2097264537","https://openalex.org/W2107008379","https://openalex.org/W2119991813","https://openalex.org/W2153338568","https://openalex.org/W2167665791","https://openalex.org/W2746791238","https://openalex.org/W2794557536","https://openalex.org/W2984353870","https://openalex.org/W2998184481","https://openalex.org/W2998721586","https://openalex.org/W3016006013","https://openalex.org/W3161000786","https://openalex.org/W6676132248","https://openalex.org/W6677619615","https://openalex.org/W6749879876"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2772323916","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2378167147","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Intent":[0],"classifiers":[1,37,182],"are":[2,38],"vital":[3],"to":[4,52,128,132,162,175,189],"the":[5,21,73,89,110,129,134,137,141,176,181],"successful":[6],"operation":[7,34],"of":[8,57,67,118,136,143,153],"virtual":[9],"agent":[10],"systems.":[11,151],"This":[12,105],"is":[13,47,106],"especially":[14],"so":[15],"in":[16,41],"voice":[17,149],"activated":[18],"systems":[19],"where":[20],"data":[22,82,178],"can":[23,124],"be":[24,126],"noisy":[25],"with":[26,102,168],"many":[27,65],"ambiguous":[28],"directions":[29],"for":[30,80,91],"user":[31,59],"intents.":[32],"Before":[33],"begins,":[35],"these":[36,172],"generally":[39],"lacking":[40],"real-world":[42],"training":[43,130,177],"data.":[44],"Active":[45],"learning":[46],"a":[48,114],"common":[49],"approach":[50,63],"used":[51],"help":[53],"label":[54,165],"large":[55],"amounts":[56],"collected":[58],"input.":[60],"However,":[61],"this":[62],"requires":[64],"hours":[66],"manual":[68,92],"labeling":[69,93,100],"work.":[70],"We":[71,139],"present":[72],"Nearest":[74],"Neighbors":[75],"Scores":[76],"Improvement":[77],"(NNSI)":[78],"algorithm":[79],"automatic":[81],"selection":[83],"and":[84,99,164,183],"labeling.":[85],"The":[86,121],"NNSI":[87,144],"reduces":[88],"need":[90],"by":[94,108,187],"automatically":[95],"selecting":[96],"highly-ambiguous":[97],"samples":[98,123,167,174],"them":[101],"high":[103,169],"accuracy.":[104,170],"done":[107],"integrating":[109],"classifier\u2019s":[111],"output":[112],"from":[113],"semantically":[115],"similar":[116],"group":[117],"text":[119],"samples.":[120],"labeled":[122],"then":[125],"added":[127],"set":[131],"improve":[133],"accuracy":[135],"classifier.":[138],"demonstrated":[140],"use":[142],"on":[145],"two":[146],"large-scale,":[147],"real-life":[148],"conversation":[150],"Evaluation":[152],"our":[154,158],"results":[155],"showed":[156],"that":[157],"method":[159],"was":[160],"able":[161],"select":[163],"useful":[166],"Adding":[171],"new":[173],"significantly":[179],"improved":[180],"reduced":[184],"error":[185],"rates":[186],"up":[188],"10%.":[190]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
