{"id":"https://openalex.org/W4410637125","doi":"https://doi.org/10.1145/3701716.3715506","title":"Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment","display_name":"Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410637125","doi":"https://doi.org/10.1145/3701716.3715506"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3715506","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715506","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715506","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715506","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102797465","display_name":"Mengyu Xiang","orcid":"https://orcid.org/0009-0005-1723-3307"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengyu Xiang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-1723-3307","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101667486","display_name":"Yuxuan Song","orcid":"https://orcid.org/0009-0008-9453-7082"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Song","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-9453-7082","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024206808","display_name":"Qiudan Li","orcid":"https://orcid.org/0000-0002-8714-4562"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiudan Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8714-4562","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047523245","display_name":"Shu Wu","orcid":"https://orcid.org/0000-0003-2164-3577"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Wu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2164-3577","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038521974","display_name":"Daniel Zeng","orcid":"https://orcid.org/0000-0002-9046-222X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Dajun Zeng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9046-222X","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102797465"],"corresponding_institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05036133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1422","last_page":"1425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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":0.9975000023841858,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11719","display_name":"Data Quality and Management","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sarcasm","display_name":"Sarcasm","score":0.9400635361671448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7038240432739258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6102375388145447},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5425191521644592},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37026098370552063},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14366093277931213},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.08678340911865234}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9400635361671448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038240432739258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102375388145447},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5425191521644592},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37026098370552063},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14366093277931213},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.08678340911865234},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3715506","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715506","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715506","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3715506","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715506","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715506","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1966413184","display_name":null,"funder_award_id":"72293575","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3438447548","display_name":null,"funder_award_id":"No. 72293575","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4127089600","display_name":null,"funder_award_id":"62141608","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7044179388","display_name":null,"funder_award_id":"62071467","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410637125.pdf","grobid_xml":"https://content.openalex.org/works/W4410637125.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W3160195908","https://openalex.org/W3209002790","https://openalex.org/W3210120707","https://openalex.org/W4283790666","https://openalex.org/W4290876361","https://openalex.org/W4385764418","https://openalex.org/W4393128980","https://openalex.org/W4396758712","https://openalex.org/W4396843822","https://openalex.org/W6802852670"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2900446122","https://openalex.org/W3037315328","https://openalex.org/W4312684429","https://openalex.org/W3018705632","https://openalex.org/W3101138303","https://openalex.org/W2349372848","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Dynamically":[0],"capturing":[1],"topic-target":[2,81],"pairs":[3],"can":[4],"provide":[5,31],"a":[6,60,66,72],"mechanism":[7],"explaining":[8],"the":[9,13,18,27,48,54,87,91,95,99,107,128],"reason":[10],"that":[11,41],"triggers":[12],"sarcasm.":[14],"Existing":[15],"approaches":[16],"ignore":[17],"event":[19],"evolution":[20],"in":[21,53],"real-world":[22],"scenario.":[23],"Hot":[24],"topics":[25],"reflecting":[26],"trends":[28],"of":[29,80,94,127],"events":[30],"external":[32],"knowledge":[33,55,85,96,100,118],"clues":[34],"such":[35],"as":[36],"topic":[37],"tags":[38],"and":[39,50,123,135],"posts":[40],"change":[42],"over":[43],"time.":[44],"How":[45],"to":[46,102,106,116],"eliminate":[47],"noise":[49],"conflicts":[51],"existed":[52],"at":[56],"different":[57],"time":[58],"is":[59,114,131],"key":[61],"challenge.":[62],"This":[63],"paper":[64],"proposes":[65],"Knowledge":[67],"Alignment":[68],"method":[69,130],"based":[70],"on":[71,133],"Large":[73],"Language":[74],"Model":[75],"(KA-LLM)":[76],"for":[77],"dynamic":[78],"detection":[79],"pairs.":[82],"Guided":[83],"by":[84],"clues,":[86],"LLM":[88],"dynamically":[89],"adjusts":[90],"topological":[92],"structure":[93],"graph,":[97],"enabling":[98],"features":[101],"pay":[103],"more":[104],"attention":[105],"current":[108],"events.":[109],"A":[110],"hybrid":[111],"alignment":[112],"approach":[113],"designed":[115],"achieve":[117],"fusion":[119],"through":[120],"feature":[121],"contrast":[122],"reconstruction.":[124],"The":[125],"effectiveness":[126],"proposed":[129],"validated":[132],"digital":[134],"automobile":[136],"datasets.":[137]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}