{"id":"https://openalex.org/W4407637660","doi":"https://doi.org/10.1109/tmm.2025.3543080","title":"Enhanced Generative Framework With LLMs for Multimodal Emotion-Cause Pair Extraction in Conversations","display_name":"Enhanced Generative Framework With LLMs for Multimodal Emotion-Cause Pair Extraction in Conversations","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407637660","doi":"https://doi.org/10.1109/tmm.2025.3543080"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3543080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3543080","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5091719014","display_name":"Xincheng Ju","orcid":"https://orcid.org/0009-0002-6183-8096"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xincheng Ju","raw_affiliation_strings":["Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0002-6183-8096","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603674","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-8948-2856"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-8948-2856","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369260","display_name":"Junhui Li","orcid":"https://orcid.org/0000-0001-7829-6348"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui Li","raw_affiliation_strings":["Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-7829-6348","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003885809","display_name":"Shoushan Li","orcid":"https://orcid.org/0000-0002-1000-3278"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoushan Li","raw_affiliation_strings":["Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012794465","display_name":"Guodong Zhou","orcid":"https://orcid.org/0000-0002-7887-5099"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-7887-5099","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Soochow at Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":5.195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94628094,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"4924","last_page":"4935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.988099992275238,"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":0.988099992275238,"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":0.984499990940094,"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":0.9713000059127808,"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/generative-grammar","display_name":"Generative grammar","score":0.7117835879325867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948343515396118},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4934788942337036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4787980020046234}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7117835879325867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948343515396118},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4934788942337036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4787980020046234}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3543080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3543080","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1397134175","display_name":null,"funder_award_id":"62206193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5789064403","display_name":null,"funder_award_id":"62376178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8937843934","display_name":null,"funder_award_id":"62076176","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W2080133951","https://openalex.org/W2085662862","https://openalex.org/W2194775991","https://openalex.org/W2561529111","https://openalex.org/W2562539671","https://openalex.org/W2745461083","https://openalex.org/W2947312908","https://openalex.org/W2950339735","https://openalex.org/W2951124019","https://openalex.org/W2963101081","https://openalex.org/W2963339397","https://openalex.org/W2963477107","https://openalex.org/W2963686995","https://openalex.org/W2964303913","https://openalex.org/W3034918576","https://openalex.org/W3035101819","https://openalex.org/W3035327313","https://openalex.org/W3035563474","https://openalex.org/W3090449556","https://openalex.org/W3092695663","https://openalex.org/W3105195400","https://openalex.org/W3116756642","https://openalex.org/W3122241445","https://openalex.org/W3172474223","https://openalex.org/W3173220247","https://openalex.org/W3174464510","https://openalex.org/W3190697745","https://openalex.org/W3199412388","https://openalex.org/W3199693760","https://openalex.org/W3209059054","https://openalex.org/W4200513358","https://openalex.org/W4253028564","https://openalex.org/W4285605578","https://openalex.org/W4290653271","https://openalex.org/W4292595691","https://openalex.org/W4304084201","https://openalex.org/W4306250392","https://openalex.org/W4312245858","https://openalex.org/W4312458895","https://openalex.org/W4312773554","https://openalex.org/W4313178214","https://openalex.org/W4313704731","https://openalex.org/W4315643333","https://openalex.org/W4319459137","https://openalex.org/W4365801669","https://openalex.org/W4382202523","https://openalex.org/W4382998734","https://openalex.org/W4385573059","https://openalex.org/W4385834126","https://openalex.org/W4386065596","https://openalex.org/W4386566713","https://openalex.org/W4387448596","https://openalex.org/W4388765368","https://openalex.org/W4389519903","https://openalex.org/W4401043674","https://openalex.org/W4403914130"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Emotion-Cause":[0,59,76],"Pair":[1,60],"Extraction":[2,61],"(ECPE)":[3],"in":[4,24,29,63,172,191,204],"conversations":[5],"aims":[6],"to":[7,131,142,156],"identify":[8],"the":[9,26,45,48,52,90,103,122,132,173,177,185,197],"emotional":[10],"utterances":[11],"(even":[12],"their":[13,17],"categories)":[14],"along":[15],"with":[16,54,80,89,200],"corresponding":[18],"causal":[19],"utterances,":[20],"which":[21,137],"is":[22],"crucial":[23],"understanding":[25],"cause-effect":[27],"relationship":[28],"dialogues.":[30],"While":[31],"prior":[32],"studies":[33],"of":[34,51,105,120,179,187,196,208],"ECPE":[35],"have":[36],"predominantly":[37],"focused":[38],"on":[39,47,211],"purely":[40],"textual":[41],"dialogues":[42,53],"and":[43,92,113,165,213],"neglected":[44],"exploration":[46],"natural":[49],"scenario":[50],"multimodal":[55],"features,":[56],"i.e.,":[57],"Multimodal":[58,75],"(MECPE)":[62],"conversations.":[64],"To":[65],"attempt":[66],"this":[67,157],"scenario,":[68],"we":[69,129],"propose":[70],"a":[71,81,139,169,205],"Generative":[72],"approach":[73,97,158],"for":[74,94,152],"pair":[77],"extraction":[78],"(GMEC)":[79],"single":[82],"stage,":[83],"thus":[84],"effectively":[85],"reducing":[86],"errors":[87],"associated":[88],"propagation":[91],"accumulation":[93],"MECPE.":[95,153],"This":[96],"can":[98],"not":[99],"only":[100],"uniformly":[101],"handle":[102],"information":[104],"diverse":[106],"modalities,":[107],"but":[108],"also":[109],"address":[110],"all":[111],"emotion":[112,216],"cause":[114],"analysis":[115,167],"tasks":[116],"uniformly.":[117],"Additionally,":[118],"instead":[119],"utilizing":[121],"fixed":[123],"commonsense":[124],"knowledge":[125,150,181],"base":[126],"as":[127,148,159],"previously,":[128],"resort":[130],"Large":[133],"Language":[134],"Models":[135],"(LLMs),":[136],"possess":[138],"powerful":[140],"ability":[141],"emerge":[143],"new":[144],"knowledge,":[145],"thereby":[146],"acting":[147],"implicit":[149],"engines":[151],"We":[154],"refer":[155],"enhanced":[160],"GMEC.":[161],"Extensive":[162],"experimental":[163],"results":[164],"detailed":[166],"demonstrate":[168],"notable":[170],"improvement":[171],"generative":[174,198],"approach.":[175],"Moreover,":[176],"integration":[178,195],"external":[180],"from":[182],"LLMs":[183,201],"optimizes":[184],"efficiency":[186],"data":[188],"utilization,":[189],"particularly":[190],"few-shot":[192],"scenarios.":[193],"The":[194],"model":[199],"has":[202],"resulted":[203],"cumulative":[206],"enhancement":[207],"4.94%,":[209],"10.90%":[210],"MECPE":[212],"MECPE-C":[214],"(with":[215],"Category).":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
