{"id":"https://openalex.org/W2004224263","doi":"https://doi.org/10.1109/icassp.2014.6854195","title":"Ordinal regression for interaction quality prediction","display_name":"Ordinal regression for interaction quality prediction","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2004224263","doi":"https://doi.org/10.1109/icassp.2014.6854195","mag":"2004224263"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5049090525","display_name":"Layla El Asri","orcid":null},"institutions":[{"id":"https://openalex.org/I1288283403","display_name":"Georgia Tech Lorraine","ror":"https://ror.org/02m5dy175","country_code":"FR","type":"education","lineage":["https://openalex.org/I1288283403"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I4210089931","display_name":"Georgia Tech-CNRS Laboratory","ror":"https://ror.org/00avmbz91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1288283403","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I130701444","https://openalex.org/I4210089931","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Layla El Asri","raw_affiliation_strings":["Orange Labs Issy-les-Moulineaux, France","Georgia Tech Lorraine [Metz] (Metz Technop\u00f4le 2-3 rue Marconi 57070 METZ - France)","Orange Labs [Issy les Moulineaux] (38-40 Rue du G\u00e9n\u00e9ral Leclerc, Issy les Moulineaux Cedex 9, 92794, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Georgia Tech Lorraine [Metz] (Metz Technop\u00f4le 2-3 rue Marconi 57070 METZ - France)","institution_ids":["https://openalex.org/I1288283403","https://openalex.org/I4210089931"]},{"raw_affiliation_string":"Orange Labs [Issy les Moulineaux] (38-40 Rue du G\u00e9n\u00e9ral Leclerc, Issy les Moulineaux Cedex 9, 92794, France - France)","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084693979","display_name":"Hatim Khouzaimi","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I4210119991","display_name":"Laboratoire Informatique d'Avignon","ror":"https://ror.org/02n399288","country_code":"FR","type":"facility","lineage":["https://openalex.org/I198415970","https://openalex.org/I4210119991"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hatim Khouzaimi","raw_affiliation_strings":["Orange Labs Issy-l\u00e8s-Moulineaux, France","LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","Orange Labs [Issy les Moulineaux] (38-40 Rue du G\u00e9n\u00e9ral Leclerc, Issy les Moulineaux Cedex 9, 92794, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs Issy-l\u00e8s-Moulineaux, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","institution_ids":["https://openalex.org/I4210119991"]},{"raw_affiliation_string":"Orange Labs [Issy les Moulineaux] (38-40 Rue du G\u00e9n\u00e9ral Leclerc, Issy les Moulineaux Cedex 9, 92794, France - France)","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089214987","display_name":"Romain Laroche","orcid":"https://orcid.org/0000-0001-7180-2746"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Laroche","raw_affiliation_strings":["Orange Labs Issy-l\u00e8s-Moulineaux, France","Orange Labs [Issy les Moulineaux] (38-40 Rue du G\u00e9n\u00e9ral Leclerc, Issy les Moulineaux Cedex 9, 92794, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs Issy-l\u00e8s-Moulineaux, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Labs [Issy les Moulineaux] (38-40 Rue du G\u00e9n\u00e9ral Leclerc, Issy les Moulineaux Cedex 9, 92794, France - France)","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065100569","display_name":"Olivier Pietquin","orcid":"https://orcid.org/0000-0002-5386-465X"},"institutions":[{"id":"https://openalex.org/I174424907","display_name":"Laboratoire d'Informatique Fondamentale de Lille","ror":"https://ror.org/05rhg0h08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I174424907"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Pietquin","raw_affiliation_strings":["LIFL, University Lille 1, France","LIFL - Laboratoire d'Informatique Fondamentale de Lille (B\u00e2timent M3 59655 Villeneuve d'Ascq C\u00e9dex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIFL, University Lille 1, France","institution_ids":["https://openalex.org/I174424907"]},{"raw_affiliation_string":"LIFL - Laboratoire d'Informatique Fondamentale de Lille (B\u00e2timent M3 59655 Villeneuve d'Ascq C\u00e9dex - France)","institution_ids":["https://openalex.org/I174424907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3221","last_page":"3225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":1.0,"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":1.0,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9945999979972839,"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/T10028","display_name":"Topic Modeling","score":0.9944000244140625,"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/ordinal-regression","display_name":"Ordinal regression","score":0.8531798124313354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706410825252533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661839246749878},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5499937534332275},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5325272083282471},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5237871408462524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5144255757331848},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4786069095134735},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4675772488117218},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4628441035747528},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4475657045841217},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4301045835018158},{"id":"https://openalex.org/keywords/ordinal-scale","display_name":"Ordinal Scale","score":0.41271576285362244},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.41064897179603577},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38704127073287964},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3617909550666809},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18320825695991516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07010385394096375}],"concepts":[{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.8531798124313354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706410825252533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661839246749878},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5499937534332275},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5325272083282471},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5237871408462524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5144255757331848},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4786069095134735},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4675772488117218},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4628441035747528},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4475657045841217},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4301045835018158},{"id":"https://openalex.org/C2909711754","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal Scale","level":2,"score":0.41271576285362244},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.41064897179603577},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38704127073287964},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3617909550666809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18320825695991516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07010385394096375},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6854195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.6908","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.6908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cristal.univ-lille.fr/%7Epietquin/pdf/ICASSP_2014_LEAHKRLOP.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01107499v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01107499","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"39th International Conference on Acoustics, Speech and Signal Processing (ICASSP2014), May 2014, Florence, Italy. pp.3221 - 3225, ⟨10.1109/ICASSP.2014.6854195⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W95300890","https://openalex.org/W164706946","https://openalex.org/W174784235","https://openalex.org/W194823000","https://openalex.org/W1220111186","https://openalex.org/W1516479813","https://openalex.org/W1746819321","https://openalex.org/W1975016129","https://openalex.org/W1980896222","https://openalex.org/W2001619934","https://openalex.org/W2040123554","https://openalex.org/W2053154970","https://openalex.org/W2054716580","https://openalex.org/W2068406960","https://openalex.org/W2075729255","https://openalex.org/W2078483536","https://openalex.org/W2081445117","https://openalex.org/W2102201073","https://openalex.org/W2102944682","https://openalex.org/W2117989772","https://openalex.org/W2124105163","https://openalex.org/W2137226992","https://openalex.org/W2141839844","https://openalex.org/W2148603752","https://openalex.org/W2151814822","https://openalex.org/W2151967815","https://openalex.org/W2153635508","https://openalex.org/W2154641875","https://openalex.org/W2156974606","https://openalex.org/W2163068732","https://openalex.org/W2169661988","https://openalex.org/W2174767898","https://openalex.org/W2180877127","https://openalex.org/W2251175910","https://openalex.org/W2264110120","https://openalex.org/W2400904432","https://openalex.org/W2438667436","https://openalex.org/W4211049957","https://openalex.org/W4254721730","https://openalex.org/W6607964519","https://openalex.org/W6678181790","https://openalex.org/W6680532697","https://openalex.org/W6683794156","https://openalex.org/W6685503199","https://openalex.org/W6691119669","https://openalex.org/W6693223451"],"related_works":["https://openalex.org/W2313068166","https://openalex.org/W141250983","https://openalex.org/W2568280491","https://openalex.org/W4237346635","https://openalex.org/W1572610764","https://openalex.org/W2280518915","https://openalex.org/W4239252336","https://openalex.org/W1656877397","https://openalex.org/W1564964387","https://openalex.org/W4255034770"],"abstract_inverted_index":{"The":[0,37],"automatic":[1],"prediction":[2],"of":[3,6,14,39,47,79,92],"the":[4,104,106,116],"quality":[5],"a":[7,15,45,77,87,90],"dialogue":[8,17],"is":[9],"useful":[10],"to":[11,33,59,94,99,115],"keep":[12],"track":[13],"spoken":[16],"system's":[18],"performance":[19],"and,":[20],"if":[21],"necessary,":[22],"adapt":[23],"its":[24],"behaviour.":[25],"Classifiers":[26],"and":[27,130,132],"regression":[28,66,75,108],"models":[29,41,101],"have":[30],"been":[31],"suggested":[32],"make":[34],"this":[35,55,61],"prediction.":[36],"parameters":[38],"these":[40],"are":[42],"learnt":[43],"from":[44],"corpus":[46,78],"dialogues":[48,80],"evaluated":[49],"by":[50,96],"users":[51],"or":[52],"experts.":[53,97],"In":[54],"paper,":[56],"we":[57],"propose":[58],"model":[60],"task":[62],"as":[63],"an":[64],"ordinal":[65,74,107],"problem.":[67],"We":[68],"apply":[69],"support":[70],"vector":[71],"machines":[72],"for":[73],"on":[76,89],"where":[81],"each":[82],"system-user":[83],"exchange":[84],"was":[85],"given":[86],"rate":[88,122],"scale":[91],"1":[93],"5":[95],"Compared":[98],"previous":[100],"proposed":[102],"in":[103],"literature,":[105],"predictor":[109],"has":[110],"significantly":[111],"better":[112],"results":[113],"according":[114],"following":[117],"evaluation":[118],"metrics:":[119],"Cohen's":[120],"agreement":[121],"with":[123],"experts":[124],"ratings,":[125],"Spearman's":[126],"rank":[127],"correlation":[128],"coefficient,":[129],"Euclidean":[131],"Manhattan":[133],"errors.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}