{"id":"https://openalex.org/W4375929046","doi":"https://doi.org/10.1109/taffc.2023.3273589","title":"Multi-Party Conversation Modeling for Emotion Recognition","display_name":"Multi-Party Conversation Modeling for Emotion Recognition","publication_year":2023,"publication_date":"2023-05-08","ids":{"openalex":"https://openalex.org/W4375929046","doi":"https://doi.org/10.1109/taffc.2023.3273589"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2023.3273589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3273589","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/A5040062188","display_name":"Xiaojun Quan","orcid":"https://orcid.org/0000-0002-8385-1083"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Quan","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034168839","display_name":"Siyue Wu","orcid":"https://orcid.org/0000-0003-1199-906X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyue Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081111515","display_name":"Junqing Chen","orcid":"https://orcid.org/0000-0003-2659-3652"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqing Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024669409","display_name":"Weizhou Shen","orcid":"https://orcid.org/0000-0001-9180-0043"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhou Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101840854","display_name":"Jianxing Yu","orcid":"https://orcid.org/0000-0003-1340-3995"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxing Yu","raw_affiliation_strings":["School of Artificial Intelligence, Sun Yat-sen University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040062188"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.3917,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84537998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"3","first_page":"751","last_page":"768"},"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.9569048881530762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750216007232666},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.7261795401573181},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6400957703590393},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.5944765210151672},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.5083639025688171},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49497050046920776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47510895133018494},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47129666805267334},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3599615693092346},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32111480832099915},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24700221419334412},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18129250407218933},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17282742261886597},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.16746503114700317}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.9569048881530762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750216007232666},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7261795401573181},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6400957703590393},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.5944765210151672},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.5083639025688171},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49497050046920776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47510895133018494},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47129666805267334},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3599615693092346},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32111480832099915},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24700221419334412},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18129250407218933},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17282742261886597},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.16746503114700317},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2023.3273589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3273589","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/4","score":0.6299999952316284,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5720687473","display_name":null,"funder_award_id":"62276279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6792809764","display_name":null,"funder_award_id":"62176270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7447199816","display_name":null,"funder_award_id":"2023A1515012832","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2146334809","https://openalex.org/W2158943324","https://openalex.org/W2204696980","https://openalex.org/W2561529111","https://openalex.org/W2604314403","https://openalex.org/W2768282280","https://openalex.org/W2798357113","https://openalex.org/W2805662932","https://openalex.org/W2891359673","https://openalex.org/W2896457183","https://openalex.org/W2950339735","https://openalex.org/W2951278869","https://openalex.org/W2955429306","https://openalex.org/W2962796276","https://openalex.org/W2963041453","https://openalex.org/W2963113370","https://openalex.org/W2963355447","https://openalex.org/W2963686995","https://openalex.org/W2963873807","https://openalex.org/W2964015378","https://openalex.org/W2964110616","https://openalex.org/W2964300796","https://openalex.org/W2965373594","https://openalex.org/W2965453734","https://openalex.org/W2970431814","https://openalex.org/W2979364224","https://openalex.org/W2985882473","https://openalex.org/W3011574394","https://openalex.org/W3034533785","https://openalex.org/W3035451444","https://openalex.org/W3088409176","https://openalex.org/W3098556456","https://openalex.org/W3099056802","https://openalex.org/W3105906861","https://openalex.org/W3114142294","https://openalex.org/W4297733535","https://openalex.org/W4385245566","https://openalex.org/W6606891786","https://openalex.org/W6628124331","https://openalex.org/W6639364127","https://openalex.org/W6691459498","https://openalex.org/W6726873649","https://openalex.org/W6732196124","https://openalex.org/W6743333458","https://openalex.org/W6745297980","https://openalex.org/W6746052068","https://openalex.org/W6755207826","https://openalex.org/W6762073003","https://openalex.org/W6762265231","https://openalex.org/W6763701032","https://openalex.org/W6763745640","https://openalex.org/W6766673545","https://openalex.org/W6768757523","https://openalex.org/W6788695333"],"related_works":["https://openalex.org/W2146569528","https://openalex.org/W1998712144","https://openalex.org/W4214487273","https://openalex.org/W4287028074","https://openalex.org/W2106828717","https://openalex.org/W3191289342","https://openalex.org/W3164774158","https://openalex.org/W2372211403","https://openalex.org/W4297817344","https://openalex.org/W1498463151"],"abstract_inverted_index":{"Multi-party":[0],"conversation":[1,11,32,55,81,169],"modeling":[2],"plays":[3],"a":[4,41,70,94,106,118,132],"vital":[5],"role":[6],"in":[7,10,27,167],"emotion":[8],"recognition":[9],"(ERC).":[12],"Aside":[13],"from":[14],"the":[15,23,28,103,114,122,161,164],"intra-":[16],"and":[17,62,83,127,130,157],"inter-speaker":[18],"dependencies":[19],"between":[20,66,140],"different":[21],"speakers,":[22],"difficulty":[24],"also":[25],"lies":[26],"fact":[29],"that":[30,39],"each":[31],"may":[33],"contain":[34],"several":[35],"to":[36,52,58,78,86,101,111,136],"many":[37],"utterances":[38,104],"compose":[40],"long":[42,60],"text":[43],"sequence.":[44],"In":[45],"this":[46],"article,":[47],"we":[48,68,92],"present":[49,93],"two":[50,165],"approaches":[51],"effective":[53],"multi-party":[54,89,168],"modeling.":[56,170],"First,":[57],"encode":[59,102],"sequences":[61,82],"capture":[63,113],"long-range":[64],"dependency":[65],"utterances,":[67],"introduce":[69],"dialog-oriented":[71],"language":[72],"model,":[73],"DialogXL,":[74],"with":[75,88,105,151],"enhanced":[76],"memory":[77],"store":[79],"longer":[80],"dialog-aware":[84],"self-attention":[85],"deal":[87],"dependencies.":[90],"Second,":[91],"directed":[95,107],"acyclic":[96,108],"neural":[97],"network,":[98],"namely":[99],"DAG-ERC,":[100],"graph":[109,128],"(DAG)":[110],"better":[112],"intrinsic":[115],"structure":[116],"within":[117],"conversation.":[119],"DAG-ERC":[120],"combines":[121],"advantages":[123],"of":[124,163],"recurrent":[125],"models":[126,129,153,166],"provides":[131],"more":[133],"intuitive":[134],"way":[135],"model":[137],"information":[138],"flow":[139],"sequential":[141],"utterances.":[142],"Extensive":[143],"experiments":[144],"are":[145],"conducted":[146],"on":[147],"four":[148],"ERC":[149],"benchmarks":[150],"state-of-the-art":[152],"employed":[154],"for":[155],"comparison,":[156],"empirical":[158],"results":[159],"demonstrate":[160],"superiority":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
