{"id":"https://openalex.org/W4402353754","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650672","title":"Modeling Sentiment-Speaker-Dependency for Emotion Recognition in Conversation","display_name":"Modeling Sentiment-Speaker-Dependency for Emotion Recognition in Conversation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353754","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650672"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5047540439","display_name":"Ge Lin","orcid":"https://orcid.org/0000-0002-4586-2603"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ge","raw_affiliation_strings":["Nanning Normal University,School of Computer and Information Engineering,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanning Normal University,School of Computer and Information Engineering,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021971414","display_name":"Faliang Huang","orcid":"https://orcid.org/0000-0002-0656-7361"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faliang Huang","raw_affiliation_strings":["Nanning Normal University,School of Computer and Information Engineering,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanning Normal University,School of Computer and Information Engineering,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350205","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-3136-2157"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Nanning Normal University,School of Computer and Information Engineering,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanning Normal University,School of Computer and Information Engineering,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012858728","display_name":"Yihua Ye","orcid":"https://orcid.org/0000-0002-2281-0085"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihua Ye","raw_affiliation_strings":["Nanning Normal University,School of Computer and Information Engineering,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanning Normal University,School of Computer and Information Engineering,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210151929"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.989300012588501,"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/conversation","display_name":"Conversation","score":0.8018890023231506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7489321231842041},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7144177556037903},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6163537502288818},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5613692998886108},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5576234459877014},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5481909513473511},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5113400816917419},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.49863147735595703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44337964057922363},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.430059015750885},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1373390257358551},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.1207335889339447}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8018890023231506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489321231842041},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7144177556037903},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6163537502288818},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5613692998886108},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5576234459877014},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5481909513473511},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5113400816917419},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.49863147735595703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44337964057922363},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.430059015750885},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1373390257358551},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.1207335889339447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1989736506","https://openalex.org/W2128837546","https://openalex.org/W2146334809","https://openalex.org/W2167992133","https://openalex.org/W2805662932","https://openalex.org/W2939362715","https://openalex.org/W2963873807","https://openalex.org/W2964300796","https://openalex.org/W2965453734","https://openalex.org/W2966126777","https://openalex.org/W2970431814","https://openalex.org/W2985882473","https://openalex.org/W3037611961","https://openalex.org/W3098556456","https://openalex.org/W3099056802","https://openalex.org/W3129702347","https://openalex.org/W3139433464","https://openalex.org/W3173751215","https://openalex.org/W3175552668","https://openalex.org/W3176399185","https://openalex.org/W3194998303","https://openalex.org/W3196324893","https://openalex.org/W3201282015","https://openalex.org/W4205363840","https://openalex.org/W4221147459","https://openalex.org/W4225266919","https://openalex.org/W4226186561","https://openalex.org/W4312904582","https://openalex.org/W4367694159","https://openalex.org/W4385245566","https://openalex.org/W4385570970","https://openalex.org/W4385573172","https://openalex.org/W4386977634","https://openalex.org/W4394862741","https://openalex.org/W6743333458","https://openalex.org/W6762073003","https://openalex.org/W6788695333","https://openalex.org/W6852497449","https://openalex.org/W6857178724"],"related_works":["https://openalex.org/W2206035908","https://openalex.org/W2005486303","https://openalex.org/W2162158162","https://openalex.org/W4247736853","https://openalex.org/W1493012537","https://openalex.org/W1999004162","https://openalex.org/W2175373321","https://openalex.org/W2125642021","https://openalex.org/W1521049138","https://openalex.org/W2938358845"],"abstract_inverted_index":{"Emotion":[0,84],"Recognition":[1,85],"in":[2,9,66,86,121],"Conversations":[3,15],"(ERC)":[4],"plays":[5],"a":[6,17,75,95,98,126],"crucial":[7],"role":[8],"the":[10,49,53,63,67,117,156],"development":[11],"of":[12,23,40,52,59,132,142,160],"human-machine":[13],"interaction.":[14],"are":[16,136],"multi-party,":[18],"multi-emotion,":[19],"and":[20,34,43,56,102,106,134,158],"multi-turn":[21],"process":[22],"information":[24,118,143],"propagation.":[25],"However,":[26],"existing":[27],"works,":[28],"which":[29],"focus":[30],"on":[31,62,148],"designing":[32],"models":[33],"algorithms":[35],"for":[36,83,88],"better":[37],"learning":[38],"representations":[39,131],"dialogue":[41],"context":[42],"speakers,":[44],"but":[45],"rarely":[46],"care":[47],"about":[48],"key":[50],"element":[51],"strong":[54],"correlation":[55],"inseparable":[57],"interdependence":[58],"emotional":[60],"states":[61],"sentiment":[64,135],"polarity":[65],"process.":[68],"To":[69],"address":[70],"this":[71],"issue,":[72],"we":[73,124],"propose":[74],"novel":[76],"model,":[77],"named":[78],"S<sup":[79],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>D-ERC":[81],"(Sentiment-Speaker-Dependency":[82],"Conversation),":[87],"ERC":[89],"task.":[90],"The":[91,145],"proposed":[92],"model":[93],"constructs":[94],"conversation":[96,122],"as":[97],"directed":[99],"acyclic":[100],"graph":[101],"represents":[103],"both":[104],"speaker-":[105],"sentiment-":[107],"dependencies":[108],"between":[109],"utterances":[110],"with":[111,138,152],"heterogeneous":[112],"edges.":[113],"Additionally,":[114],"to":[115],"capture":[116],"interaction":[119],"dynamics":[120],"context,":[123],"employ":[125],"cross-attention":[127],"mechanism":[128],"where":[129],"latent":[130],"speaker":[133],"learned":[137],"two":[139,149],"different":[140],"directions":[141],"flow.":[144],"experimental":[146],"results":[147],"benchmarks,":[150],"compared":[151],"state-of-the-art":[153],"models,":[154],"demonstrate":[155],"superiority":[157],"effectiveness":[159],"our":[161],"model.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
