{"id":"https://openalex.org/W4391164131","doi":"https://doi.org/10.1109/access.2024.3357982","title":"An Emotion Type Informed Multi-Task Model for Emotion Cause Pair Extraction","display_name":"An Emotion Type Informed Multi-Task Model for Emotion Cause Pair Extraction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391164131","doi":"https://doi.org/10.1109/access.2024.3357982"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3357982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3357982","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10413477.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10413477.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100457678","display_name":"Zhe Chen","orcid":"https://orcid.org/0000-0002-2919-4481"},"institutions":[{"id":"https://openalex.org/I4210114245","display_name":"Anhui Business College","ror":"https://ror.org/02d0cgn19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114245"]},{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Chen","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","School of Computer Science and Engineering & School of Artificial Intelligence, Hubei Provincial Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China","Anhui Vocational College of Defense Technology, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"School of Computer Science and Engineering & School of Artificial Intelligence, Hubei Provincial Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"Anhui Vocational College of Defense Technology, Anhui, China","institution_ids":["https://openalex.org/I4210114245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025505902","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0003-4145-5389"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","School of Computer Science and Engineering & School of Artificial Intelligence, Hubei Provincial Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"School of Computer Science and Engineering & School of Artificial Intelligence, Hubei Provincial Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076935774","display_name":"Vasile Palade","orcid":"https://orcid.org/0000-0002-6768-8394"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasile Palade","raw_affiliation_strings":["Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, U.K","Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I73417466"]},{"raw_affiliation_string":"Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, United Kingdom","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407779","display_name":"Liya Wang","orcid":"https://orcid.org/0000-0003-2921-4101"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liya Wang","raw_affiliation_strings":["Zhejiang Industry and Trade Vocational College, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Industry and Trade Vocational College, Wenzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029363494","display_name":"Junchi Zhang","orcid":"https://orcid.org/0000-0001-7701-568X"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchi Zhang","raw_affiliation_strings":["Jianghan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Jianghan University, Wuhan, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398504","display_name":"Ying Feng","orcid":"https://orcid.org/0000-0003-1045-4172"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Feng","raw_affiliation_strings":["Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100457678"],"corresponding_institution_ids":["https://openalex.org/I4210114245","https://openalex.org/I91125648"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3476,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82329697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"15662","last_page":"15674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.7957260012626648},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6902514696121216},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6177698373794556},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5932376384735107},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5818570256233215},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5487526059150696},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4999845027923584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44628000259399414},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3407100737094879},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33972880244255066},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1115976870059967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957260012626648},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6902514696121216},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6177698373794556},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5932376384735107},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5818570256233215},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5487526059150696},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4999845027923584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44628000259399414},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3407100737094879},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33972880244255066},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1115976870059967},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3357982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3357982","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10413477.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/ca239eba-bff1-4646-a9d7-20447f5a7014","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/ca239eba-bff1-4646-a9d7-20447f5a7014","pdf_url":"https://pure.coventry.ac.uk/ws/files/81117562/Palade2024VoR_1_.pdf","source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, Z, Zhang, M, Palade, V, Wang, L, Zhang, J & Feng, Y 2024, 'An Emotion Type Informed Multi-Task Model for Emotion Cause Pair Extraction', IEEE Access, vol. 12, pp. 15662-15674. https://doi.org/10.1109/access.2024.3357982","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:f7f4f22cb69b4c7e8440767c47c03233","is_oa":true,"landing_page_url":"https://doaj.org/article/f7f4f22cb69b4c7e8440767c47c03233","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 15662-15674 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3357982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3357982","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10413477.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5292178699","display_name":null,"funder_award_id":"62106179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8702001612","display_name":null,"funder_award_id":"62106180","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391164131.pdf","grobid_xml":"https://content.openalex.org/works/W4391164131.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1564070220","https://openalex.org/W2161624371","https://openalex.org/W2182096631","https://openalex.org/W2250981850","https://openalex.org/W2766095568","https://openalex.org/W2892381115","https://openalex.org/W2896457183","https://openalex.org/W2951124019","https://openalex.org/W2963711448","https://openalex.org/W3008734205","https://openalex.org/W3020594048","https://openalex.org/W3035101819","https://openalex.org/W3035327313","https://openalex.org/W3035563474","https://openalex.org/W3091809132","https://openalex.org/W3100743427","https://openalex.org/W3105195400","https://openalex.org/W3113863090","https://openalex.org/W3115801429","https://openalex.org/W3116756642","https://openalex.org/W3116859293","https://openalex.org/W3128766872","https://openalex.org/W3134554043","https://openalex.org/W3172474223","https://openalex.org/W3173276074","https://openalex.org/W3190697745","https://openalex.org/W3195809814","https://openalex.org/W3199283535","https://openalex.org/W3213873121","https://openalex.org/W4200513358","https://openalex.org/W4205221103","https://openalex.org/W4231458041","https://openalex.org/W6601034179","https://openalex.org/W6604260396","https://openalex.org/W6682839988","https://openalex.org/W6731935726","https://openalex.org/W6755207826","https://openalex.org/W6774500908","https://openalex.org/W6783944650"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Emotion-Cause":[0],"Pair":[1,102,116],"Extraction":[2],"(ECPE)":[3],"aims":[4],"to":[5,55,203],"jointly":[6],"extract":[7],"emotion":[8,60,71,136,145,190],"clauses":[9,14,74,125,170],"and":[10,72,86,112,133,144,171,182],"the":[11,31,68,82,130,151,155,159,163,173,178,200,205,217],"corresponding":[12],"cause":[13,73,140],"from":[15,49,75],"a":[16,35,76,106,109,196],"document,":[17],"which":[18,63,89,158],"is":[19,90,193],"important":[20,91],"for":[21,66,92],"user":[22],"evaluation":[23],"or":[24,37],"public":[25],"opinion":[26],"analysis.":[27],"Existing":[28],"research":[29],"addresses":[30],"ECPE":[32,101],"task":[33],"through":[34,129,150],"two-step":[36],"an":[38,100,113],"end-to-end":[39],"approach.":[40],"Although":[41],"previous":[42],"work":[43],"shows":[44],"promising":[45],"performances,":[46],"they":[47,53,80],"suffer":[48],"two":[50],"limitations:":[51],"1)":[52],"fail":[54],"take":[56],"full":[57],"advantage":[58],"of":[59,157,167,180,207],"type":[61,146,191],"information,":[62,88],"has":[64],"advantages":[65],"modelling":[67],"dependencies":[69],"between":[70,84,169],"semantic":[77],"perspective;":[78],"2)":[79],"ignored":[81],"interaction":[83,179],"local":[85,183],"global":[87,181],"ECPE.":[93],"To":[94],"address":[95],"these":[96],"issues,":[97],"we":[98],"propose":[99],"Generator":[103],"(ECPE-PG),":[104],"with":[105],"Clause-Encoder":[107,131],"layer,":[108,153],"Pre-Output":[110,152],"layer":[111,132],"Information":[114],"Interaction-based":[115],"Generation":[117],"(IIPG)":[118],"Module":[119],"embedded.":[120],"This":[121],"model":[122],"first":[123],"encodes":[124],"into":[126],"vector":[127],"representations":[128],"then":[134],"preforms":[135],"clause":[137,141],"extraction":[138,142,147],"(EE),":[139],"(CE)":[143],"(ETE),":[148],"respectively,":[149],"on":[154,177,220],"basis":[156],"IIPG":[160,201],"module":[161,202],"analyzes":[162],"complex":[164],"emotional":[165],"logic":[166],"relationships":[168],"estimates":[172],"candidate":[174],"pairs":[175],"based":[176],"information.":[184],"It":[185],"should":[186],"be":[187],"noted":[188],"that":[189,213],"information":[192],"regarded":[194],"as":[195],"crucial":[197],"indication":[198],"in":[199],"assist":[204],"identification":[206],"emotion-cause":[208],"pairs.":[209],"Experimental":[210],"results":[211],"show":[212],"our":[214],"method":[215],"outperforms":[216],"state-of-the-art":[218],"methods":[219],"benchmark":[221],"datasets.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
