{"id":"https://openalex.org/W4417471429","doi":"https://doi.org/10.1109/taffc.2025.3645576","title":"Implicit Knowledge and Emotional Cues-Enhanced Multimodal Sarcasm Detection Model","display_name":"Implicit Knowledge and Emotional Cues-Enhanced Multimodal Sarcasm Detection Model","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417471429","doi":"https://doi.org/10.1109/taffc.2025.3645576"},"language":null,"primary_location":{"id":"doi:10.1109/taffc.2025.3645576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3645576","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":null,"display_name":"Yi Zhai","orcid":"https://orcid.org/0009-0007-9370-5948"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhai","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-9370-5948","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-7249-698X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7249-698X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802308","display_name":"Xingye Li","orcid":"https://orcid.org/0000-0002-5727-8877"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingye Li","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5727-8877","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuxin Liu","orcid":"https://orcid.org/0000-0002-0386-3405"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0386-3405","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005312852","display_name":"Huihua He","orcid":"https://orcid.org/0000-0003-4628-7425"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihua He","raw_affiliation_strings":["College of Early Childhood Education, Shanghai Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4628-7425","affiliations":[{"raw_affiliation_string":"College of Early Childhood Education, Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20511881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"1","first_page":"1044","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7914999723434448,"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":0.7914999723434448,"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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.05480000004172325,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.023499999195337296,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/sarcasm","display_name":"Sarcasm","score":0.9793999791145325},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.5989999771118164},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.47699999809265137},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.4715999960899353},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.45350000262260437},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.367900013923645}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9793999791145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047000288963318},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.5989999771118164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5713000297546387},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48500001430511475},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.4715999960899353},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.45350000262260437},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38190001249313354},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3650999963283539},{"id":"https://openalex.org/C2778119611","wikidata":"https://www.wikidata.org/wiki/Q7246970","display_name":"Problematization","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C2780882242","wikidata":"https://www.wikidata.org/wiki/Q14235582","display_name":"Literal (mathematical logic)","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2025.3645576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3645576","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":[],"awards":[{"id":"https://openalex.org/G7682384977","display_name":null,"funder_award_id":"20&ZD130","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1531333757","https://openalex.org/W1832693441","https://openalex.org/W2024011160","https://openalex.org/W2250710744","https://openalex.org/W2252381721","https://openalex.org/W2489370933","https://openalex.org/W2561529111","https://openalex.org/W2913873497","https://openalex.org/W2945662754","https://openalex.org/W2950339735","https://openalex.org/W2951937667","https://openalex.org/W2963101081","https://openalex.org/W2985873309","https://openalex.org/W3010507974","https://openalex.org/W3034998021","https://openalex.org/W3035177206","https://openalex.org/W3035565303","https://openalex.org/W3094173182","https://openalex.org/W3102848065","https://openalex.org/W3115532187","https://openalex.org/W3116159721","https://openalex.org/W3120854948","https://openalex.org/W3154008317","https://openalex.org/W3207396986","https://openalex.org/W3207632983","https://openalex.org/W4210999079","https://openalex.org/W4285304773","https://openalex.org/W4295122555","https://openalex.org/W4312832330","https://openalex.org/W4317735699","https://openalex.org/W4382318659","https://openalex.org/W4384207668","https://openalex.org/W4385572265","https://openalex.org/W4385573263","https://openalex.org/W4386076128","https://openalex.org/W4387107466","https://openalex.org/W4391983367","https://openalex.org/W4393034208","https://openalex.org/W4394893488","https://openalex.org/W4401506251"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"sarcasm":[1,7,27,52,78],"detection":[2,79,145],"aims":[3],"to":[4,39,45,97,127],"determine":[5],"whether":[6],"exists":[8],"in":[9,25],"the":[10,34,57,69,89,102,135,155],"interplay":[11],"between":[12,60],"text":[13,120],"and":[14,50,54,71,84,116,143],"accompanying":[15],"images":[16],"or":[17],"audio.":[18],"Effectively":[19],"exploiting":[20],"commonsense":[21,48,82,99],"knowledge":[22,49,100,110],"is":[23],"crucial":[24],"multimodal":[26],"detection.":[28],"However,":[29],"previous":[30],"methods":[31,160],"only":[32],"utilize":[33],"inherent":[35],"attributes":[36],"within":[37],"modalities":[38,142],"construct":[40],"superficial":[41],"inconsistencies.":[42],"They":[43],"fail":[44],"fully":[46],"leverage":[47],"implicit":[51],"cues":[53],"cannot":[55],"uncover":[56],"deep":[58],"contradictions":[59],"modalities.":[61],"Accordingly,":[62],"we":[63],"propose":[64],"a":[65,93,123,147],"novel":[66],"model":[67,91,96,136,157],"named":[68],"Knowledge":[70],"Emotion":[72],"Enhanced":[73],"(KEE)":[74],"model,":[75],"which":[76],"enhances":[77],"by":[80],"integrating":[81],"reasoning":[83],"cross-modal":[85],"emotional":[86,138],"contrast.":[87],"Specifically,":[88],"KEE":[90,156],"leverages":[92],"generative":[94],"language":[95],"infer":[98],"from":[101],"visual":[103],"modality.":[104],"It":[105],"then":[106],"selects":[107],"highly":[108],"relevant":[109],"phrases":[111],"through":[112,146],"an":[113],"attention":[114],"mechanism":[115,126],"integrates":[117],"them":[118],"with":[119],"embeddings":[121],"via":[122],"gated":[124],"weighting":[125],"reveal":[128],"sarcastic":[129],"clues":[130],"behind":[131],"literal":[132],"semantics.":[133],"Additionally,":[134],"captures":[137],"polarity":[139],"inconsistencies":[140],"across":[141],"optimizes":[144],"joint":[148],"distribution":[149],"framework.":[150],"Experimental":[151],"results":[152],"demonstrate":[153],"that":[154],"outperforms":[158],"state-of-the-art":[159],"on":[161],"benchmark":[162],"datasets.":[163]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-18T00:00:00"}