{"id":"https://openalex.org/W4414360057","doi":"https://doi.org/10.24963/ijcai.2025/304","title":"FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis","display_name":"FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360057","doi":"https://doi.org/10.24963/ijcai.2025/304"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/304","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/304","pdf_url":"https://www.ijcai.org/proceedings/2025/0304.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2025/0304.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118588148","display_name":"Wei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["School of Artificial Intelligence, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422985","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0001-6680-160X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054820378","display_name":"Meng Yuan","orcid":"https://orcid.org/0000-0003-4016-5048"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103193784","display_name":"Kepeng Xu","orcid":"https://orcid.org/0000-0003-0650-2442"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kepeng Xu","raw_affiliation_strings":["Xidian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fuzhen Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["School of Artificial Intelligence, Beihang University, China","Zhongguancun Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beihang University, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I82880672"]},{"raw_affiliation_string":"Zhongguancun Laboratory, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3141,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92930119,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2731","last_page":"2739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9728000164031982,"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":0.9728000164031982,"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":0.965499997138977,"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/T11122","display_name":"Online Learning and Analytics","score":0.9373000264167786,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.6876000165939331},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6610999703407288},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.593999981880188},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.489300012588501},{"id":"https://openalex.org/keywords/negative-transfer","display_name":"Negative transfer","score":0.4740000069141388},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4489000141620636},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.3765999972820282},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.3716999888420105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8156999945640564},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6876000165939331},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6610999703407288},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6223999857902527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.608299970626831},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.4740000069141388},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.3765999972820282},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.3716999888420105},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.31520000100135803},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.31119999289512634},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/304","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/304","pdf_url":"https://www.ijcai.org/proceedings/2025/0304.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2025/304","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/304","pdf_url":"https://www.ijcai.org/proceedings/2025/0304.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G245388120","display_name":null,"funder_award_id":"62176014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3475847803","display_name":null,"funder_award_id":"62206266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6301420548","display_name":null,"funder_award_id":"2024YFF0729003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6617559040","display_name":null,"funder_award_id":"62276015","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414360057.pdf","grobid_xml":"https://content.openalex.org/works/W4414360057.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,104],"address":[4],"the":[5,30,36,62,155],"task":[6,136],"of":[7,157],"targeted":[8],"sentiment":[9,33,83,122],"analysis":[10],",":[11],"which":[12],"involves":[13],"two":[14,41],"sub-tasks,":[15],"i.e.,":[16],"identifying":[17],"specific":[18],"aspects":[19],"from":[20],"reviews":[21],"and":[22,134,149],"determining":[23],"their":[24],"corresponding":[25],"senti-ments.":[26],"Aspect":[27],"extraction":[28],"forms":[29],"foundation":[31],"for":[32,43,114],"prediction,":[34,123],"highlighting":[35],"critical":[37],"dependency":[38],"between":[39],"these":[40,102],"tasks":[42],"effective":[44],"cross-task":[45,109],"knowledge":[46,70,110,128],"transfer.":[47,71,99],"While":[48],"most":[49],"existing":[50],"studies":[51],"adopt":[52],"a":[53,107],"multi-task":[54],"learning":[55],"paradigm":[56],"to":[57,97],"align":[58],"task-specific":[59],"features":[60],"in":[61],"latent":[63],"space,":[64],"they":[65],"predominantly":[66],"rely":[67],"on":[68,140,164],"coarse-grained":[69],"Such":[72],"approaches":[73],"lack":[74],"fine-grained":[75,108,127],"control":[76],"over":[77],"aspect-sentiment":[78],"relationships,":[79],"often":[80],"assuming":[81],"uniform":[82],"polarity":[84],"within":[85],"related":[86],"aspects.":[87],"This":[88],"oversimplification":[89],"neglects":[90],"contextual":[91],"cues":[92],"that":[93],"differentiate":[94],"sentiments,":[95],"leading":[96],"negative":[98,132],"To":[100],"overcome":[101],"limitations,":[103],"propose":[105],"FCKT,":[106],"transfer":[111,133],"framework":[112,125],"tailored":[113],"TSA.":[115],"By":[116],"explicitly":[117],"incorporating":[118],"aspect-level":[119],"information":[120],"into":[121],"our":[124],"achieves":[126],"transfer,":[129],"effectively":[130],"mitigating":[131],"enhancing":[135],"performance.":[137],"Extensive":[138],"experiments":[139],"three":[141],"real-world":[142],"datasets,":[143],"including":[144],"comparisons":[145],"with":[146],"various":[147],"baselines":[148],"large":[150],"language":[151],"models":[152],"(LLMs),":[153],"demonstrate":[154],"effectiveness":[156],"FCKT.":[158],"The":[159],"source":[160],"code":[161],"is":[162],"available":[163],"https://github.com/cwei01/FCKT.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}