{"id":"https://openalex.org/W4319459137","doi":"https://doi.org/10.1109/taffc.2023.3243463","title":"Cluster-Level Contrastive Learning for Emotion Recognition in Conversations","display_name":"Cluster-Level Contrastive Learning for Emotion Recognition in Conversations","publication_year":2023,"publication_date":"2023-02-08","ids":{"openalex":"https://openalex.org/W4319459137","doi":"https://doi.org/10.1109/taffc.2023.3243463"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2023.3243463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3243463","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.03508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066983614","display_name":"Kailai Yang","orcid":"https://orcid.org/0000-0003-3142-2516"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I87253917","display_name":"Manchester University","ror":"https://ror.org/02aswte26","country_code":"US","type":"education","lineage":["https://openalex.org/I87253917"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Kailai Yang","raw_affiliation_strings":["NaCTeM and the Department of Computer Science, University of Manchester, Manchester, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3142-2516","affiliations":[{"raw_affiliation_string":"NaCTeM and the Department of Computer Science, University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311","https://openalex.org/I87253917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042345460","display_name":"Tianlin Zhang","orcid":"https://orcid.org/0000-0003-0843-1916"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I87253917","display_name":"Manchester University","ror":"https://ror.org/02aswte26","country_code":"US","type":"education","lineage":["https://openalex.org/I87253917"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Tianlin Zhang","raw_affiliation_strings":["NaCTeM and the Department of Computer Science, University of Manchester, Manchester, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0843-1916","affiliations":[{"raw_affiliation_string":"NaCTeM and the Department of Computer Science, University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311","https://openalex.org/I87253917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046502677","display_name":"Hassan Alhuzali","orcid":"https://orcid.org/0000-0002-0935-0774"},"institutions":[{"id":"https://openalex.org/I199693650","display_name":"Umm al-Qura University","ror":"https://ror.org/01xjqrm90","country_code":"SA","type":"education","lineage":["https://openalex.org/I199693650"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hassan Alhuzali","raw_affiliation_strings":["College of Computers and Information Systems, Umm Al-Qura University, Mecca, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computers and Information Systems, Umm Al-Qura University, Mecca, Saudi Arabia","institution_ids":["https://openalex.org/I199693650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077976343","display_name":"Sophia Ananiadou","orcid":"https://orcid.org/0000-0002-4097-9191"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I87253917","display_name":"Manchester University","ror":"https://ror.org/02aswte26","country_code":"US","type":"education","lineage":["https://openalex.org/I87253917"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Sophia Ananiadou","raw_affiliation_strings":["NaCTeM and the Department of Computer Science, University of Manchester, Manchester, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NaCTeM and the Department of Computer Science, University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311","https://openalex.org/I87253917"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.5314,"has_fulltext":true,"cited_by_count":79,"citation_normalized_percentile":{"value":0.99007947,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"3269","last_page":"3280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"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/T12488","display_name":"Mental Health via Writing","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6928499937057495},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.653478741645813},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5860611200332642},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5347527265548706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144363045692444},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.4926508069038391},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4681442379951477},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44948750734329224},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.4436538517475128},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42215749621391296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3416599631309509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6928499937057495},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.653478741645813},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5860611200332642},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5347527265548706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144363045692444},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.4926508069038391},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4681442379951477},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44948750734329224},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.4436538517475128},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42215749621391296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3416599631309509},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":4,"locations":[{"id":"doi:10.1109/taffc.2023.3243463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3243463","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"},{"id":"pmh:oai:arXiv.org:2302.03508","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.03508","pdf_url":"https://arxiv.org/pdf/2302.03508","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/11aee07e-7087-4861-90c6-0f5343aecf23","is_oa":false,"landing_page_url":"https://www.scopus.com/pages/publications/85148466322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, K, Zhang, T, Alhuzali, H & Ananiadou, S 2023, 'Cluster-Level Contrastive Learning for Emotion Recognition in Conversations', IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2023.3243463","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:publications/11aee07e-7087-4861-90c6-0f5343aecf23","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/11aee07e-7087-4861-90c6-0f5343aecf23","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, K, Zhang, T, Alhuzali, H & Ananiadou, S 2023, 'Cluster-Level Contrastive Learning for Emotion Recognition in Conversations', IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2023.3243463","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.03508","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.03508","pdf_url":"https://arxiv.org/pdf/2302.03508","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G6457786194","display_name":null,"funder_award_id":"BB/P025684/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G6743117132","display_name":"A Youth Culturally adapted Manual Assisted Psychological therapy (Y-CMAP) for adolescent Pakistani patients with a recent history of self-harm.","funder_award_id":"MR/R022461/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G7679475066","display_name":"Japan Partnering Award. Text mining and bioinformatics platforms for metabolic pathway modelling.","funder_award_id":"BB/P025684/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G7807395539","display_name":null,"funder_award_id":"MR/R022461/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320317988","display_name":"Artificial Intelligence Research Center","ror":null},{"id":"https://openalex.org/F4320323054","display_name":"Associazione Italiana per la Ricerca sul Cancro","ror":"https://ror.org/02g2x7380"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334629","display_name":"Biotechnology and Biological Sciences Research Council","ror":"https://ror.org/00cwqg982"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319459137.pdf","grobid_xml":"https://content.openalex.org/works/W4319459137.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1793953714","https://openalex.org/W2003653478","https://openalex.org/W2023736093","https://openalex.org/W2146334809","https://openalex.org/W2158630797","https://openalex.org/W2343758848","https://openalex.org/W2560647685","https://openalex.org/W2622263826","https://openalex.org/W2798357113","https://openalex.org/W2805662932","https://openalex.org/W2891359673","https://openalex.org/W2896457183","https://openalex.org/W2905807898","https://openalex.org/W2963686995","https://openalex.org/W2963873807","https://openalex.org/W2964300796","https://openalex.org/W2964303116","https://openalex.org/W2965373594","https://openalex.org/W2970431814","https://openalex.org/W2985882473","https://openalex.org/W2997793532","https://openalex.org/W3011574394","https://openalex.org/W3012159372","https://openalex.org/W3034999214","https://openalex.org/W3037611961","https://openalex.org/W3039444588","https://openalex.org/W3087124270","https://openalex.org/W3088409176","https://openalex.org/W3098556456","https://openalex.org/W3099056802","https://openalex.org/W3103181422","https://openalex.org/W3105111366","https://openalex.org/W3105816068","https://openalex.org/W3109620645","https://openalex.org/W3116016199","https://openalex.org/W3116679303","https://openalex.org/W3156064856","https://openalex.org/W3156636935","https://openalex.org/W3173751215","https://openalex.org/W3173783447","https://openalex.org/W3174558664","https://openalex.org/W3175362188","https://openalex.org/W3175552668","https://openalex.org/W3175604467","https://openalex.org/W3176047188","https://openalex.org/W3176849538","https://openalex.org/W3189347889","https://openalex.org/W3195073768","https://openalex.org/W3196324893","https://openalex.org/W3196711847","https://openalex.org/W3201282015","https://openalex.org/W3201916717","https://openalex.org/W3212414676","https://openalex.org/W3214376504","https://openalex.org/W4206565514","https://openalex.org/W4226025958","https://openalex.org/W4404752347","https://openalex.org/W6637937289","https://openalex.org/W6739622702","https://openalex.org/W6743333458","https://openalex.org/W6745245109","https://openalex.org/W6745297980","https://openalex.org/W6748344979","https://openalex.org/W6757817989","https://openalex.org/W6766673545","https://openalex.org/W6776700526","https://openalex.org/W6777265123","https://openalex.org/W6784874100","https://openalex.org/W6800666689","https://openalex.org/W6810518251"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2314871050"],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"for":[3,163],"Emotion":[4],"Recognition":[5],"in":[6,32,56],"Conversations":[7],"(ERC)":[8],"is":[9,47,159,197],"to":[10,40,88,101,121],"distinguish":[11],"semantically":[12],"similar":[13],"emotions.":[14,45],"Some":[15],"works":[16],"utilise":[17],"Supervised":[18,75],"Contrastive":[19,77],"Learning":[20,78],"(SCL)":[21],"which":[22,60,81],"uses":[23],"categorical":[24,37],"emotion":[25,104],"labels":[26,38],"as":[27],"supervision":[28],"signals":[29],"and":[30,111,124,145,174,193],"contrasts":[31],"high-dimensional":[33,63,85],"semantic":[34,58],"space.":[35],"However,":[36],"fail":[39],"provide":[41],"quantitative":[42],"information":[43],"between":[44],"ERC":[46,164],"also":[48,153,166],"not":[49,160],"equally":[50],"dependent":[51],"on":[52,139,143,148],"all":[53],"embedded":[54],"features":[55],"the":[57,62,84,109,113,117,156,176,182,187,190],"space,":[59],"makes":[61],"SCL":[64,86],"inefficient.":[65],"To":[66,106],"address":[67],"these":[68],"issues,":[69],"we":[70,115],"propose":[71],"a":[72,89],"novel":[73],"low-dimensional":[74],"Cluster-level":[76],"(SCCL)":[79],"method,":[80],"first":[82],"reduces":[83],"space":[87,93,158],"three-dimensional":[90],"affect":[91],"representation":[92],"Valence-Arousal-Dominance":[94],"(VAD),":[95],"then":[96],"performs":[97],"cluster-level":[98],"contrastive":[99],"learning":[100],"incorporate":[102],"measurable":[103],"prototypes.":[105],"help":[107],"modelling":[108],"dialogue":[110],"enriching":[112],"context,":[114],"leverage":[116],"pre-trained":[118,183],"knowledge":[119,184],"adapters":[120,185],"infuse":[122],"linguistic":[123],"factual":[125],"knowledge.":[126],"Experiments":[127],"show":[128],"that":[129,155],"our":[130],"method":[131],"achieves":[132],"new":[133],"state-of-the-art":[134],"results":[135],"with":[136,168],"<inline-formula><tex-math":[137,141,146],"notation=\"LaTeX\">$69.81\\%$</tex-math></inline-formula>":[138],"IEMOCAP,":[140],"notation=\"LaTeX\">$65.7\\%$</tex-math></inline-formula>":[142],"MELD,":[144],"notation=\"LaTeX\">$62.51\\%$</tex-math></inline-formula>":[147],"DailyDialog":[149],"datasets.":[150],"The":[151],"analysis":[152],"proves":[154],"VAD":[157,169],"only":[161],"suitable":[162],"but":[165],"interpretable,":[167],"prototypes":[170],"enhancing":[171],"its":[172],"performance":[173,188],"stabilising":[175],"training":[177],"of":[178,189],"SCCL.":[179,194],"In":[180],"addition,":[181],"benefit":[186],"utterance":[191],"encoder":[192],"Our":[195],"code":[196],"available":[198],"at:":[199],"<uri>https://github.com/SteveKGYang/SCCL</uri>":[200]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}