{"id":"https://openalex.org/W4313140988","doi":"https://doi.org/10.1109/taffc.2022.3232166","title":"AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations","display_name":"AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations","publication_year":2022,"publication_date":"2022-12-26","ids":{"openalex":"https://openalex.org/W4313140988","doi":"https://doi.org/10.1109/taffc.2022.3232166"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2022.3232166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3232166","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5063959214","display_name":"Dazhi Jiang","orcid":"https://orcid.org/0000-0003-0781-9126"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhi Jiang","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, Guangdong Province, China","Guangdong Provincial Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou, Guangdong Province, China"],"raw_orcid":"https://orcid.org/0000-0003-0781-9126","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, Guangdong Province, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou, Guangdong Province, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025263611","display_name":"Runguo Wei","orcid":"https://orcid.org/0000-0001-8453-0364"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runguo Wei","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, Guangdong Province, China"],"raw_orcid":"https://orcid.org/0000-0001-8453-0364","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, Guangdong Province, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009044920","display_name":"Jintao Wen","orcid":"https://orcid.org/0000-0001-6355-3014"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Wen","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, Guangdong Province, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077104771","display_name":"Geng Tu","orcid":"https://orcid.org/0000-0002-3524-1408"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Tu","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, Guangdong Province, China"],"raw_orcid":"https://orcid.org/0000-0002-3524-1408","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, Guangdong Province, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3030-1280","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.8182,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.91662494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"3","first_page":"1845","last_page":"1856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.998199999332428,"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":0.996399998664856,"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":0.6589654684066772},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.657426118850708},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.611088752746582},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5991947650909424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342857837677002},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4960270822048187},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.436156690120697},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4157906770706177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38858428597450256},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3649240732192993},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14757820963859558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1102796196937561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589654684066772},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.657426118850708},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.611088752746582},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5991947650909424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342857837677002},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4960270822048187},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.436156690120697},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4157906770706177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38858428597450256},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3649240732192993},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14757820963859558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1102796196937561},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2022.3232166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3232166","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G5214083443","display_name":null,"funder_award_id":"2019A1515010943","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6945421991","display_name":null,"funder_award_id":"62106136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7173709229","display_name":null,"funder_award_id":"61902231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W61273459","https://openalex.org/W1832693441","https://openalex.org/W2003653478","https://openalex.org/W2097998348","https://openalex.org/W2102953093","https://openalex.org/W2123442489","https://openalex.org/W2131202986","https://openalex.org/W2158943324","https://openalex.org/W2250539671","https://openalex.org/W2561529111","https://openalex.org/W2740550900","https://openalex.org/W2749002090","https://openalex.org/W2761590056","https://openalex.org/W2772633765","https://openalex.org/W2796221039","https://openalex.org/W2798357113","https://openalex.org/W2804780446","https://openalex.org/W2805662932","https://openalex.org/W2807873315","https://openalex.org/W2883265831","https://openalex.org/W2885311373","https://openalex.org/W2891103209","https://openalex.org/W2896457183","https://openalex.org/W2904300840","https://openalex.org/W2905807898","https://openalex.org/W2940359106","https://openalex.org/W2950339735","https://openalex.org/W2951493960","https://openalex.org/W2962692632","https://openalex.org/W2963209029","https://openalex.org/W2963520511","https://openalex.org/W2963686995","https://openalex.org/W2963855998","https://openalex.org/W2964300796","https://openalex.org/W2966284335","https://openalex.org/W2970431814","https://openalex.org/W2985882473","https://openalex.org/W3037611961","https://openalex.org/W3038471032","https://openalex.org/W3039724609","https://openalex.org/W3044187822","https://openalex.org/W3094412822","https://openalex.org/W3098556456","https://openalex.org/W3116679303","https://openalex.org/W3116705004","https://openalex.org/W3128463972","https://openalex.org/W3153807302","https://openalex.org/W3173899333","https://openalex.org/W3201356490","https://openalex.org/W3202775307","https://openalex.org/W3207773797","https://openalex.org/W4210879464","https://openalex.org/W4213308398","https://openalex.org/W4241209333","https://openalex.org/W4285076978","https://openalex.org/W4306250392","https://openalex.org/W4312458895","https://openalex.org/W4312706447","https://openalex.org/W4382463665","https://openalex.org/W4385245566","https://openalex.org/W6602432130","https://openalex.org/W6674385629","https://openalex.org/W6739901393","https://openalex.org/W6743333458","https://openalex.org/W6745297980","https://openalex.org/W6753278433","https://openalex.org/W6753505025","https://openalex.org/W6802898748"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W3165136392","https://openalex.org/W2963219906","https://openalex.org/W2221077171","https://openalex.org/W2950339735","https://openalex.org/W2963520511","https://openalex.org/W2971998405","https://openalex.org/W2901964648","https://openalex.org/W3152979241","https://openalex.org/W1979978247"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1],"in":[2,8,34,56,140,153],"conversations":[3],"(ERC)":[4],"has":[5],"wide":[6],"applications":[7],"medical":[9],"care,":[10],"human-computer":[11],"interaction,":[12],"and":[13,28,42,71,99,105,136,156],"other":[14],"fields.":[15],"Unlike":[16],"the":[17,38,75,127,160,170],"general":[18],"task":[19],"of":[20],"emotion":[21,92],"analysis,":[22],"humans":[23],"usually":[24],"rely":[25],"on":[26,91],"context":[27,138],"commonsense":[29,47,82],"knowledge":[30,48,63,69,98,115,135,152],"to":[31,66,72,95,124,133,169],"convey":[32],"emotions":[33],"conversations.":[35,57,141],"Only":[36],"when":[37],"model":[39,125,130,163],"can":[40,51,148],"connect":[41],"fully":[43],"utilize":[44],"a":[45],"large-scale":[46],"base,":[49],"it":[50],"better":[52],"understand":[53],"latent":[54],"contents":[55],"Unfortunately,":[58],"there":[59],"is":[60,77,122,131,167],"no":[61],"available":[62],"selection":[64,108],"mechanism":[65],"address":[67],"such":[68],"needs":[70],"make":[73],"sure":[74],"system":[76],"not":[78],"flooded":[79],"with":[80],"irrelevant":[81],"knowledge.":[83],"Therefore,":[84],"we":[85],"propose":[86],"an":[87],"AutoML":[88],"strategy":[89],"based":[90],"congruent":[93],"effect":[94],"select":[96],"suitable":[97],"models,":[100],"called":[101],"AutoML-Emo.":[102],"Global":[103],"exploration":[104],"local":[106],"exploitation-based":[107],"mechanisms":[109],"(G&LESM)":[110],"are":[111],"used":[112],"for":[113],"automatic":[114],"selection.":[116],"The":[117,142],"transformer-based":[118,129,162],"architecture":[119],"search":[120],"(TAS)":[121],"applied":[123],"selection,":[126],"selected":[128,161],"employed":[132],"incorporate":[134],"capture":[137],"information":[139],"experimental":[143],"results":[144],"show":[145],"that":[146],"AutoML-Emo":[147],"effectively":[149],"enhance":[150],"external":[151],"different":[154],"sizes":[155],"domain":[157],"datasets.":[158],"Moreover,":[159],"derived":[164],"from":[165],"TAS":[166],"superior":[168],"most":[171],"advanced":[172],"models.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
