{"id":"https://openalex.org/W2147078892","doi":"https://doi.org/10.1109/icassp.2002.5743645","title":"Combination of boosting and discriminative training for natural language call steering systems","display_name":"Combination of boosting and discriminative training for natural language call steering systems","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2147078892","doi":"https://doi.org/10.1109/icassp.2002.5743645","mag":"2147078892"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5743645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743645","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"IEEE International Conference on Acoustics Speech and Signal Processing","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/A5108365460","display_name":"Imed Zitouni","orcid":null},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Imed Zitouni","raw_affiliation_strings":["Bell Laboratories, Lucent Technologies, Inc., Murray Hill, NJ, USA","[Bell Labs, Lucent Technologies, 600 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.]"],"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Lucent Technologies, Inc., Murray Hill, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Bell Labs, Lucent Technologies, 600 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.]","institution_ids":["https://openalex.org/I1322087612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110252428","display_name":"Hong-Kwang Jeff Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hong-Kwang Jeff Kuo","raw_affiliation_strings":["Bell Laboratories, Lucent Technologies, Inc., Murray Hill, NJ, USA","[Bell Labs, Lucent Technologies, 600 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.]"],"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Lucent Technologies, Inc., Murray Hill, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Bell Labs, Lucent Technologies, 600 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.]","institution_ids":["https://openalex.org/I1322087612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":["Bell Laboratories, Lucent Technologies, Inc., Murray Hill, NJ, USA","[Bell Labs, Lucent Technologies, 600 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.]"],"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Lucent Technologies, Inc., Murray Hill, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Bell Labs, Lucent Technologies, 600 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.]","institution_ids":["https://openalex.org/I1322087612"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108365460"],"corresponding_institution_ids":["https://openalex.org/I1322087612"],"apc_list":null,"apc_paid":null,"fwci":1.7754,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86953728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"I","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9972000122070312,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9972000122070312,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9969000220298767,"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/T12031","display_name":"Speech and dialogue systems","score":0.994700014591217,"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/discriminative-model","display_name":"Discriminative model","score":0.9349084496498108},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8525235056877136},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.7781826257705688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700700044631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.609937846660614},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6011971235275269},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.55259770154953},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5500919222831726},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5343465209007263},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.4381892681121826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41511327028274536},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.2465188205242157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18451011180877686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08641761541366577}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9349084496498108},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8525235056877136},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.7781826257705688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700700044631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.609937846660614},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6011971235275269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.55259770154953},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5500919222831726},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5343465209007263},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.4381892681121826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41511327028274536},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2465188205242157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18451011180877686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08641761541366577}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5743645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743645","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W31405998","https://openalex.org/W182033415","https://openalex.org/W1540371141","https://openalex.org/W1676280465","https://openalex.org/W1890769446","https://openalex.org/W1975846642","https://openalex.org/W1978394996","https://openalex.org/W1988790447","https://openalex.org/W2070534370","https://openalex.org/W2093717447","https://openalex.org/W2129076398","https://openalex.org/W2136201726","https://openalex.org/W2142399242","https://openalex.org/W2165612380","https://openalex.org/W3004732066","https://openalex.org/W6601312511","https://openalex.org/W6607450418","https://openalex.org/W6632223008","https://openalex.org/W6679181864"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W3094138326","https://openalex.org/W4310224730"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"the":[5,28,47,62,70,75,81,102,115],"combination":[6],"of":[7,23,36,69,83,98,117,127],"two":[8],"different":[9],"techniques":[10],"to":[11,26,32,60,74],"improve":[12,61],"natural":[13],"language":[14],"call":[15,88],"routing:":[16],"boosting":[17,24,71,103],"and":[18],"discriminative":[19,58,99,112],"training.":[20],"The":[21],"goal":[22],"is":[25],"re-weight":[27],"data":[29,123],"in":[30,80],"order":[31],"train":[33],"a":[34,91],"set":[35],"classifiers":[37,119],"whose":[38],"errors":[39],"may":[40],"be":[41,53],"uncorrelated":[42],"so":[43],"that":[44],"when":[45],"combined,":[46],"classification":[48],"error":[49],"rate":[50],"(CER)":[51],"can":[52],"reduced.":[54],"We":[55],"propose":[56],"using":[57],"training":[59,100,113],"individual":[63,118],"classifier":[64],"accuracy":[65],"at":[66],"each":[67],"iteration":[68],"algorithm.":[72],"Compared":[73],"baseline":[76],"classifiers,":[77],"an":[78,125],"improvement":[79],"CER":[82,116],"41\u201350%":[84],"was":[85],"observed":[86],"on":[87,101,121],"routing":[89],"for":[90],"banking":[92],"task.":[93],"More":[94],"importantly,":[95],"synergistic":[96],"effects":[97],"algorithm":[104],"were":[105,109],"demonstrated:":[106],"more":[107],"iterations":[108],"possible":[110],"because":[111],"reduced":[114],"trained":[120],"re-weighted":[122],"by":[124],"average":[126],"72%.":[128]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}