{"id":"https://openalex.org/W7106317869","doi":"https://doi.org/10.1109/taffc.2025.3635606","title":"Emotions Like Human: Self-Supervised Emotion Label Augmentation for Emotion Recognition in Conversation","display_name":"Emotions Like Human: Self-Supervised Emotion Label Augmentation for Emotion Recognition in Conversation","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7106317869","doi":"https://doi.org/10.1109/taffc.2025.3635606"},"language":null,"primary_location":{"id":"doi:10.1109/taffc.2025.3635606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3635606","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":null,"display_name":"Qifeng Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Qifeng Lai","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Han Liu","orcid":"https://orcid.org/0000-0001-6921-2050"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6921-2050","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanman Li","orcid":"https://orcid.org/0000-0003-4526-3018"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanman Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4526-3018","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiguo Gong","orcid":"https://orcid.org/0000-0002-4588-890X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhiguo Gong","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-4588-890X","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Macao Polytechnic University, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-1717-5785","affiliations":[{"raw_affiliation_string":"Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Macao Polytechnic University, Macau, China","institution_ids":["https://openalex.org/I49835588"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59446499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"1","first_page":"817","last_page":"828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7609000205993652,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7609000205993652,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.18780000507831573,"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":0.007600000128149986,"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/utterance","display_name":"Utterance","score":0.7221999764442444},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7159000039100647},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6277999877929688},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.580299973487854},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.580299973487854},{"id":"https://openalex.org/keywords/emotion-perception","display_name":"Emotion perception","score":0.5223000049591064},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.4302000105381012},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.40630000829696655}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7221999764442444},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7159000039100647},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6277999877929688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616599977016449},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C2776141551","wikidata":"https://www.wikidata.org/wiki/Q16000087","display_name":"Emotion perception","level":3,"score":0.5223000049591064},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4869000017642975},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45170000195503235},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43470001220703125},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.40630000829696655},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.3878999948501587},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29190000891685486},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C143110190","wikidata":"https://www.wikidata.org/wiki/Q5373787","display_name":"Emotional expression","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.26350000500679016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2025.3635606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3635606","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":[{"score":0.695773720741272,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7915373546","display_name":null,"funder_award_id":"2025A1515010954","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8928471111","display_name":null,"funder_award_id":"62571338","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2011722134","https://openalex.org/W2016089260","https://openalex.org/W2032254851","https://openalex.org/W2033702744","https://openalex.org/W2146334809","https://openalex.org/W2149628368","https://openalex.org/W2150593711","https://openalex.org/W2169749310","https://openalex.org/W2184126968","https://openalex.org/W2290390358","https://openalex.org/W2432374399","https://openalex.org/W2896457183","https://openalex.org/W2950339735","https://openalex.org/W2963101081","https://openalex.org/W2963686995","https://openalex.org/W2964300796","https://openalex.org/W2970431814","https://openalex.org/W2979826702","https://openalex.org/W2982605440","https://openalex.org/W2985882473","https://openalex.org/W3098556456","https://openalex.org/W3099590177","https://openalex.org/W3108417339","https://openalex.org/W3116679303","https://openalex.org/W3173751215","https://openalex.org/W3175552668","https://openalex.org/W3176113532","https://openalex.org/W3176399185","https://openalex.org/W3176849538","https://openalex.org/W3194998303","https://openalex.org/W3201282015","https://openalex.org/W4225529283","https://openalex.org/W4226025958","https://openalex.org/W4226239215","https://openalex.org/W4238457602","https://openalex.org/W4253028564","https://openalex.org/W4283789934","https://openalex.org/W4285604359","https://openalex.org/W4365801669","https://openalex.org/W4382202684","https://openalex.org/W4382463665","https://openalex.org/W4384890868","https://openalex.org/W4385570970","https://openalex.org/W4385573172","https://openalex.org/W4387814489","https://openalex.org/W4399267112","https://openalex.org/W4402799077","https://openalex.org/W4404782242"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,40,78,124,144,191],"natural":[4],"language":[5],"processing":[6],"(NLP)":[7],"has":[8],"enabled":[9],"automatic":[10],"emotion":[11,24,168],"recognition":[12],"in":[13,49,84,159],"conversations":[14],"(ERC).":[15],"However,":[16],"most":[17,160],"existing":[18,161],"models":[19,163,178,193],"train":[20,165],"on":[21,166,175],"isolated":[22],"one-hot":[23,167],"labels":[25,169],"that":[26,164,184],"overlook":[27],"emotional":[28,42,91],"connections":[29],"between":[30],"utterances":[31,111],"and":[32,38,74,127,179,194,202],"cannot":[33],"effectively":[34,75,187],"convey":[35],"the":[36,122,125,145,189],"extent":[37],"complexity":[39],"nuanced":[41],"perception":[43],"similar":[44],"to":[45,103,112,136,152,170],"human":[46,150],"understanding,":[47],"resulting":[48],"reduced":[50],"performance.":[51,173],"To":[52,94],"address":[53],"this,":[54],"we":[55,97,141],"propose":[56,98],"a":[57,85,99],"self-supervised":[58,86,100],"<bold":[59,62,65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,63,66,107,117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</b>ituation-aware":[61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">E</b>motion":[64],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</b>abel":[67],"(SEL)":[68],"generation":[69],"method,":[70],"which":[71,131],"can":[72,156,186],"automatically":[73],"compute":[76,153],"weights":[77],"all":[79],"emotions":[80,132],"for":[81],"every":[82],"utterance":[83],"way,":[87],"utilizing":[88],"no":[89],"extra":[90],"annotated":[92],"data.":[93],"generate":[95,113],"SELs,":[96],"situation-aware":[101],"method":[102],"first":[104],"fuse":[105],"<italic":[106,116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">situation</i>":[108],"information":[109],"into":[110],"emotion-perceptive":[114,146],"representations.":[115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Situation</i>":[118],"is":[119],"defined":[120],"as":[121],"combination":[123],"topic":[126],"surrounding":[128],"people,":[129],"with":[130,148],"are":[133],"widely":[134],"thought":[135],"be":[137,157],"more":[138],"predictable.":[139],"Then,":[140],"combine":[142],"similarities":[143],"representations":[147],"prior":[149],"knowledge":[151],"SELs.":[154],"SEL":[155,185,208],"deployed":[158],"ERC":[162,177],"enhance":[171],"their":[172],"Experiments":[174],"six":[176],"four":[180],"benchmark":[181],"datasets":[182],"indicate":[183],"boost":[188],"performance":[190],"base":[192],"attain":[195],"state-of-the-art":[196],"outcomes.":[197],"Ablation":[198],"study,":[199,201],"case":[200],"quantitative":[203],"analysis":[204],"further":[205],"show":[206],"how":[207],"works.":[209]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-23T00:00:00"}