{"id":"https://openalex.org/W4400489318","doi":"https://doi.org/10.1109/cscwd61410.2024.10580194","title":"Topic-based Multi-layer Knowledge Filtering for Emotion Recognition in Conversation","display_name":"Topic-based Multi-layer Knowledge Filtering for Emotion Recognition in Conversation","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400489318","doi":"https://doi.org/10.1109/cscwd61410.2024.10580194"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-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/A5100606921","display_name":"Xiaoyang Li","orcid":"https://orcid.org/0000-0002-2986-3470"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyang Li","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433323","display_name":"Zhenyu Yang","orcid":"https://orcid.org/0000-0002-0773-0298"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Yang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367692","display_name":"Yiwen Li","orcid":"https://orcid.org/0000-0002-7794-9391"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Li","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100450024","display_name":"Zhijun Li","orcid":"https://orcid.org/0000-0002-3909-488X"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Li","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100606921"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07862541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1960","last_page":"1967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9093999862670898,"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":0.9093999862670898,"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":0.9071000218391418,"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":0.8920286893844604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7203108072280884},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6131519079208374},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.41145169734954834},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3949352204799652},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.392764151096344},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.3716026246547699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.360471248626709},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34827661514282227},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17679286003112793},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.12843096256256104},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.060970813035964966}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8920286893844604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203108072280884},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6131519079208374},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.41145169734954834},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3949352204799652},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.392764151096344},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.3716026246547699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.360471248626709},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34827661514282227},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17679286003112793},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.12843096256256104},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.060970813035964966},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3126677997","https://openalex.org/W1610857240","https://openalex.org/W4391307871","https://openalex.org/W4392502551","https://openalex.org/W2336827033","https://openalex.org/W2505228240","https://openalex.org/W4319430321","https://openalex.org/W3047499479","https://openalex.org/W4389296211","https://openalex.org/W2922915988"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,54],"in":[2,10,16,115,151],"conversation":[3],"(ERC)":[4],"is":[5,124],"a":[6,43],"prominent":[7],"research":[8],"topic":[9,101],"natural":[11],"language":[12],"processing,":[13],"widely":[14,131],"applicable":[15],"various":[17],"scenarios.":[18],"However,":[19],"accessing":[20],"external":[21],"commonsense":[22,58,95,110],"knowledge":[23,59,91,111],"and":[24,63,73,83,99],"related":[25],"dialogue":[26,75],"topics,":[27],"along":[28],"with":[29,112],"the":[30,142],"complexity":[31],"of":[32,144],"fusing":[33],"utterances,":[34,113],"presents":[35],"significant":[36],"challenges.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,104],"introduce":[42],"Topic-based":[44],"Multilayer":[45],"Knowledge":[46,80,85],"Filtering":[47,81,86],"(TMKF)":[48],"model":[49,123],"to":[50,70,88,108],"enhance":[51],"dialog":[52],"emotion":[53,137],"accuracy.":[55],"TMKF":[56],"acquires":[57],"for":[60,119,135],"each":[61],"utterance":[62,117],"employs":[64],"two":[65],"Variational":[66],"Autoencoder":[67],"(VAE)":[68],"modules":[69],"extract":[71],"global":[72,98],"speaker-level":[74],"topics.":[76],"We":[77],"utilize":[78],"Global":[79],"(GKF)":[82],"Local":[84],"(LKF)":[87],"obtain":[89],"topic-specific":[90],"representations":[92,118],"after":[93],"filtering":[94],"information":[96],"through":[97,126],"local":[100],"hierarchies.":[102],"Subsequently,":[103],"leverage":[105],"relational":[106],"graphs":[107],"convolve":[109],"resulting":[114],"knowledge-constrained":[116],"classification.":[120],"Our":[121],"proposed":[122],"evaluated":[125],"extensive":[127],"experiments":[128],"on":[129],"four":[130],"used":[132],"benchmark":[133],"datasets":[134],"conversational":[136],"recognition.":[138],"The":[139],"results":[140],"underscore":[141],"effectiveness":[143],"TMKF,":[145],"which":[146],"significantly":[147],"outperforms":[148],"other":[149],"methods":[150],"standard":[152],"metric":[153],"evaluations.":[154]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
