{"id":"https://openalex.org/W4416037137","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.31","title":"Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation","display_name":"Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416037137","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.31"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.31","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.31","pdf_url":"https://aclanthology.org/2025.emnlp-main.31.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.31.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101397559","display_name":"Kun Peng","orcid":"https://orcid.org/0000-0002-2051-4709"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kun Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002016827","display_name":"Cong Cao","orcid":"https://orcid.org/0000-0003-1881-1947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong Cao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740622","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0003-0458-5977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013357648","display_name":"Guanlin Wu","orcid":"https://orcid.org/0000-0001-9968-2977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanlin Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091926843","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0002-9713-7251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101679578","display_name":"Lei Jiang","orcid":"https://orcid.org/0000-0003-0179-1505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Jiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651401","display_name":"Yanbing Liu","orcid":"https://orcid.org/0000-0001-8068-8316"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanbing Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101397559"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9119,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89095678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"596","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9057999849319458,"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":0.9057999849319458,"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":0.012900000438094139,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7146000266075134},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4912000000476837},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.33889999985694885},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.33570000529289246},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31540000438690186}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7146000266075134},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5501999855041504},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.42329999804496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40630000829696655},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.38530001044273376},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3131999969482422},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.2745000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2630000114440918},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.31","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.31","pdf_url":"https://aclanthology.org/2025.emnlp-main.31.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.31","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.31","pdf_url":"https://aclanthology.org/2025.emnlp-main.31.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3233148970","display_name":null,"funder_award_id":"62441612","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/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5691792714","display_name":null,"funder_award_id":"62476163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5957623925","display_name":null,"funder_award_id":"2023B151","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"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/G6464829129","display_name":null,"funder_award_id":"2023B1515120020","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7594744594","display_name":null,"funder_award_id":"62322202","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"},{"id":"https://openalex.org/F4320321895","display_name":"Government of Jiangxi Province","ror":"https://ror.org/02fzqav45"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416037137.pdf","grobid_xml":"https://content.openalex.org/works/W4416037137.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"Emotion":[1,45],"Recognition":[2,46],"in":[3,19,35,47,90,154],"Conversation":[4,48],"(ERC)":[5],"research":[6],"follows":[7],"a":[8,23,58,99,148],"closed-domain":[9],"assumption.However,":[10],"there":[11],"is":[12,93,115],"no":[13],"clear":[14],"consensus":[15],"on":[16,139],"emotion":[17,61,77,133],"classification":[18],"psychology,":[20],"which":[21,79,95,119],"presents":[22],"challenge":[24],"for":[25,51,103,151],"models":[26],"when":[27],"it":[28],"comes":[29],"to":[30,117,130,135],"recognizing":[31],"previously":[32],"unseen":[33,136],"emotions":[34,114],"real-world":[36],"applications.To":[37],"bridge":[38],"this":[39,155],"gap,":[40],"we":[41,80,96,120],"introduce":[42],"the":[43,52,109],"Unseen":[44],"(UERC)":[49],"task":[50],"first":[53],"time":[54],"and":[55,106],"propose":[56],"ProEmoTrans,":[57],"solid":[59],"prototype-based":[60,64],"transfer":[62,131],"framework.This":[63],"approach":[65],"shows":[66],"promise":[67],"but":[68],"still":[69],"faces":[70],"key":[71],"challenges:":[72],"First,":[73],"implicit":[74],"expressions":[75],"complicate":[76],"definition,":[78],"address":[81,121],"by":[82],"proposing":[83],"an":[84,123],"LLM-enhanced":[85],"description":[86],"approach.Second,":[87],"utterance":[88],"encoding":[89,105],"long":[91],"conversations":[92],"difficult,":[94],"tackle":[97],"with":[98,122],"proposed":[100],"parameter-free":[101],"mechanism":[102],"efficient":[104],"overfitting":[107],"prevention.Finally,":[108],"Markovian":[110],"flow":[111],"nature":[112],"of":[113],"hard":[116],"transfer,":[118],"improved":[124],"Attention":[125],"Viterbi":[126],"Decoding":[127],"(AVD)":[128],"method":[129,145],"seen":[132],"transitions":[134],"emotions.Extensive":[137],"experiments":[138],"three":[140],"datasets":[141],"show":[142],"that":[143],"our":[144],"serves":[146],"as":[147],"strong":[149],"baseline":[150],"preliminary":[152],"exploration":[153],"new":[156],"area.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-11-08T00:00:00"}
