{"id":"https://openalex.org/W3014981215","doi":"https://doi.org/10.1109/icassp40776.2020.9054240","title":"Fast Intent Classification for Spoken Language Understanding Systems","display_name":"Fast Intent Classification for Spoken Language Understanding Systems","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3014981215","doi":"https://doi.org/10.1109/icassp40776.2020.9054240","mag":"3014981215"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102385818","display_name":"Akshit Tyagi","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Akshit Tyagi","raw_affiliation_strings":["University of Massachusetts, Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054740348","display_name":"Varun Sharma","orcid":"https://orcid.org/0000-0002-4531-640X"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Sharma","raw_affiliation_strings":["University of Massachusetts, Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075937808","display_name":"Rahul Gupta","orcid":"https://orcid.org/0000-0002-9277-3718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahul Gupta","raw_affiliation_strings":["Amazon.com, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Cambridge, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005065001","display_name":"Lynn Samson","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lynn Samson","raw_affiliation_strings":["University of Massachusetts, Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081705021","display_name":"Nan Zhuang","orcid":"https://orcid.org/0009-0006-5023-2661"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Zhuang","raw_affiliation_strings":["University of Massachusetts, Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892407","display_name":"Zihang Wang","orcid":"https://orcid.org/0009-0007-1273-3112"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihang Wang","raw_affiliation_strings":["University of Massachusetts, Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087904058","display_name":"Bill Campbell","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bill Campbell","raw_affiliation_strings":["Amazon.com, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Cambridge, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102385818"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67295188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8119","last_page":"8123"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9959999918937683,"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":0.8625486493110657},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6491923332214355},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6484991312026978},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6226018071174622},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5667251348495483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535293698310852},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.500544548034668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48388370871543884},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.47691747546195984},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.46085020899772644},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37203919887542725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08228182792663574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8625486493110657},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6491923332214355},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6484991312026978},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6226018071174622},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5667251348495483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535293698310852},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.500544548034668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48388370871543884},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.47691747546195984},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.46085020899772644},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37203919887542725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08228182792663574},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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":34,"referenced_works":["https://openalex.org/W587794757","https://openalex.org/W941230081","https://openalex.org/W1535041666","https://openalex.org/W1724438581","https://openalex.org/W1821462560","https://openalex.org/W1922123711","https://openalex.org/W2089497633","https://openalex.org/W2119144962","https://openalex.org/W2171457693","https://openalex.org/W2172654076","https://openalex.org/W2766839578","https://openalex.org/W2885369545","https://openalex.org/W2892248135","https://openalex.org/W2892453983","https://openalex.org/W2898771141","https://openalex.org/W2949488962","https://openalex.org/W2953341738","https://openalex.org/W2962677625","https://openalex.org/W2963288440","https://openalex.org/W2963340555","https://openalex.org/W2963864497","https://openalex.org/W2964299589","https://openalex.org/W2972775012","https://openalex.org/W3176896803","https://openalex.org/W6617368339","https://openalex.org/W6624664881","https://openalex.org/W6632149132","https://openalex.org/W6637709462","https://openalex.org/W6638523607","https://openalex.org/W6640442106","https://openalex.org/W6677580257","https://openalex.org/W6685191050","https://openalex.org/W6745499037","https://openalex.org/W6755871579"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2083429127","https://openalex.org/W2358855848","https://openalex.org/W2142145894","https://openalex.org/W2807110902","https://openalex.org/W2359307945","https://openalex.org/W2033808215"],"abstract_inverted_index":{"Spoken":[0],"Language":[1],"Understanding":[2],"(SLU)":[3],"systems":[4],"consist":[5],"of":[6,27,33,53,113,147,167,178],"several":[7,32],"machine":[8],"learning":[9,22],"components":[10],"operating":[11,61],"together":[12],"(e.g.":[13],"intent":[14,81,134],"classification,":[15],"named":[16],"entity":[17],"recognition":[18],"and":[19,56,70,175],"resolution).":[20],"Deep":[21],"models":[23,183],"have":[24],"obtained":[25],"state":[26],"the":[28,68,104,116,123,140,160,163,176,185],"art":[29],"results":[30],"on":[31,62,79,122],"these":[34],"tasks,":[35],"largely":[36],"attributed":[37],"to":[38,92,115,182],"their":[39],"better":[40],"modeling":[41,47],"capacity.":[42],"However,":[43],"an":[44,80],"increase":[45],"in":[46,103,145,162],"capacity":[48],"comes":[49],"with":[50,128,184],"added":[51],"costs":[52],"higher":[54],"latency":[55,69],"energy":[57],"usage,":[58],"particularly":[59],"when":[60,90],"low":[63],"complexity":[64,72,95,149,181],"devices.":[65],"To":[66],"address":[67],"computational":[71,148,164],"issues,":[73],"we":[74],"explore":[75],"a":[76,93,111],"BranchyNet":[77,88,141,186],"scheme":[78,83,89,142],"classification":[82],"within":[84],"SLU":[85,117],"systems.":[86],"The":[87],"applied":[91],"high":[94],"model,":[96],"adds":[97],"exit":[98,173],"points":[99,174],"at":[100],"various":[101,172],"stages":[102],"model":[105,131,152],"allowing":[106],"early":[107],"decision":[108],"making":[109],"for":[110,133],"set":[112],"queries":[114],"model.":[118],"We":[119,154],"conduct":[120,156],"experiments":[121,137],"Facebook":[124],"Semantic":[125],"Parsing":[126],"dataset":[127],"two":[129],"candidate":[130],"architectures":[132],"classification.":[135],"Our":[136],"show":[138],"that":[139,169],"provides":[143],"gains":[144],"terms":[146],"without":[150],"compromising":[151],"accuracy.":[153],"also":[155],"analytical":[157],"studies":[158],"regarding":[159],"improvements":[161],"cost,":[165],"distribution":[166],"utterances":[168],"egress":[170],"from":[171],"impact":[177],"adding":[179],"more":[180],"scheme.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}