{"id":"https://openalex.org/W2081921119","doi":"https://doi.org/10.1109/slt.2012.6424199","title":"Employing boosting to compare cues to verbal feedback in multi-lingual dialog","display_name":"Employing boosting to compare cues to verbal feedback in multi-lingual dialog","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2081921119","doi":"https://doi.org/10.1109/slt.2012.6424199","mag":"2081921119"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2012.6424199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2012.6424199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Spoken Language Technology Workshop (SLT)","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/A5031004017","display_name":"Gina\u2010Anne Levow","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gina-Anne Levow","raw_affiliation_strings":["Linguistics, University of Washington, Seattle, WA, USA","University of Washington, Linguistics, Seattle, WA USA"],"affiliations":[{"raw_affiliation_string":"Linguistics, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, Linguistics, Seattle, WA USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656646","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0002-2861-6216"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Mathematics and Computer Science, Argonne National Laboratory, Argonne, IL, USA","Argonne National Laboratory, Mathematics and Computer Science, Argonne, IL USA"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science, Argonne National Laboratory, Argonne, IL, USA","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"Argonne National Laboratory, Mathematics and Computer Science, Argonne, IL USA","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031004017"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72488885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"138","issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9976999759674072,"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/T12031","display_name":"Speech and dialogue systems","score":0.9976999759674072,"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/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9894000291824341,"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/boosting","display_name":"Boosting (machine learning)","score":0.8566613793373108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626887917518616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6063345670700073},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5123992562294006},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4797007739543915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4536416828632355},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.4506915509700775},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4412864148616791},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4388084411621094},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4274671971797943},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.42531847953796387},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37339910864830017}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8566613793373108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626887917518616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6063345670700073},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5123992562294006},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4797007739543915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4536416828632355},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.4506915509700775},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4412864148616791},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4388084411621094},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4274671971797943},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.42531847953796387},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37339910864830017},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2012.6424199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2012.6424199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W171695591","https://openalex.org/W228988231","https://openalex.org/W265573121","https://openalex.org/W655134796","https://openalex.org/W1498883201","https://openalex.org/W1533603940","https://openalex.org/W1678356000","https://openalex.org/W1964725106","https://openalex.org/W1971905681","https://openalex.org/W1990024149","https://openalex.org/W2007889078","https://openalex.org/W2028632271","https://openalex.org/W2032210760","https://openalex.org/W2032330493","https://openalex.org/W2034246592","https://openalex.org/W2053919869","https://openalex.org/W2118748593","https://openalex.org/W2123409957","https://openalex.org/W2147809118","https://openalex.org/W2148143831","https://openalex.org/W2153635508","https://openalex.org/W2161898017","https://openalex.org/W2245305628","https://openalex.org/W2911776943","https://openalex.org/W3120421331","https://openalex.org/W3209383001","https://openalex.org/W4213174947","https://openalex.org/W6609799775","https://openalex.org/W6631859175","https://openalex.org/W6681826746","https://openalex.org/W6691053276"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W2063157598","https://openalex.org/W2107559347","https://openalex.org/W2013809956","https://openalex.org/W1538046993","https://openalex.org/W2097043665","https://openalex.org/W2884325279","https://openalex.org/W1570592793"],"abstract_inverted_index":{"Verbal":[0],"feedback":[1,16,50,95],"provides":[2],"important":[3],"cues":[4,125],"in":[5,45,122],"establishing":[6],"interactional":[7],"rapport.":[8],"The":[9],"challenge":[10],"of":[11,110,129],"recognizing":[12,46],"contexts":[13,47],"for":[14,48],"verbal":[15,49,94],"largely":[17],"arises":[18],"from":[19,61],"relative":[20],"sparseness":[21],"and":[22,27,66,75,84,106,120],"optionality.":[23],"In":[24,35,55],"addition,":[25],"cross-language":[26],"inter-speaker":[28],"variations":[29],"can":[30,42],"make":[31],"recognition":[32],"more":[33],"difficult.":[34],"this":[36],"paper,":[37],"we":[38,58],"show":[39],"that":[40,99],"boosting":[41,71,101],"improve":[43],"accuracy":[44],"based":[51],"on":[52,91],"prosodic":[53,124],"cues.":[54],"our":[56],"experiments,":[57],"use":[59],"dyads":[60],"three":[62],"languages":[63],"(English,":[64],"Spanish":[65],"Arabic)":[67],"to":[68],"evaluate":[69],"two":[70],"methods,":[72],"generalized":[73],"Adaboost":[74],"Gradient":[76],"Boosting":[77],"Trees,":[78],"against":[79],"Support":[80],"Vector":[81],"Machines":[82],"(SVMs)":[83],"a":[85],"naive":[86],"baseline,":[87],"with":[88],"explicit":[89],"oversampling":[90],"the":[92,104,111,115,123],"minority":[93],"instances.":[96],"We":[97],"find":[98],"both":[100],"methods":[102],"outperform":[103],"baseline":[105],"SVM":[107],"classifiers.":[108],"Analysis":[109],"feature":[112],"weighting":[113],"by":[114,127],"boosted":[116],"classifiers":[117],"highlights":[118],"differences":[119],"similarities":[121],"employed":[126],"members":[128],"these":[130],"diverse":[131],"language/cultural":[132],"groups.":[133]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
