{"id":"https://openalex.org/W4404076347","doi":"https://doi.org/10.2298/csis240320067z","title":"Topic-oriented sarcasm detection via Entity Knowledge-based prompt learning","display_name":"Topic-oriented sarcasm detection via Entity Knowledge-based prompt learning","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404076347","doi":"https://doi.org/10.2298/csis240320067z"},"language":"en","primary_location":{"id":"doi:10.2298/csis240320067z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240320067z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400067Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400067Z","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101761764","display_name":"Yuhao Zhou","orcid":"https://orcid.org/0000-0002-4004-1195"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061581624","display_name":"Shunxiang Zhang","orcid":"https://orcid.org/0000-0002-0540-7593"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunxiang Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Caiqin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiqin Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372556","display_name":"Yanhui Wang","orcid":"https://orcid.org/0000-0002-8209-560X"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424276","display_name":"Xiaolong Wang","orcid":"https://orcid.org/0000-0003-3355-3632"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063188437","display_name":"Kuan\u2010Ching Li","orcid":"https://orcid.org/0000-0003-1381-4364"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"KuanChing Li","raw_affiliation_strings":["Department of Computer Science and Information Engineering (CSIE), Providence University, Taizhong, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering (CSIE), Providence University, Taizhong, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74899917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"22","issue":"1","first_page":"33","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/sarcasm","display_name":"Sarcasm","score":0.968917965888977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8970905542373657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5401837229728699},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4809507727622986},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.08004128932952881},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0756523609161377}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.968917965888977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8970905542373657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5401837229728699},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4809507727622986},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.08004128932952881},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0756523609161377},{"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:10.2298/csis240320067z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240320067z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400067Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis240320067z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240320067z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400067Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5759799692","display_name":null,"funder_award_id":"62076006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8645897224","display_name":null,"funder_award_id":"2021-008","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/W4404076347.pdf","grobid_xml":"https://content.openalex.org/works/W4404076347.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W2080133951","https://openalex.org/W2123142779","https://openalex.org/W2255466643","https://openalex.org/W2540227089","https://openalex.org/W2896457183","https://openalex.org/W2951561177","https://openalex.org/W2953356739","https://openalex.org/W2962681323","https://openalex.org/W2962739339","https://openalex.org/W2963270153","https://openalex.org/W2998385486","https://openalex.org/W3014521650","https://openalex.org/W3021959812","https://openalex.org/W3035652936","https://openalex.org/W3090486418","https://openalex.org/W3101845158","https://openalex.org/W3153427360","https://openalex.org/W3154008317","https://openalex.org/W3165484287","https://openalex.org/W3172642864","https://openalex.org/W3174306305","https://openalex.org/W3174784402","https://openalex.org/W3175423549","https://openalex.org/W3176191710","https://openalex.org/W3188542058","https://openalex.org/W3207632983","https://openalex.org/W3210297405","https://openalex.org/W3213914898","https://openalex.org/W4205534709","https://openalex.org/W4206927895","https://openalex.org/W4207025902","https://openalex.org/W4207027346","https://openalex.org/W4212784311","https://openalex.org/W4214687282","https://openalex.org/W4287958162","https://openalex.org/W4297359186","https://openalex.org/W4309811444","https://openalex.org/W4313178318","https://openalex.org/W4318570625","https://openalex.org/W4319003895","https://openalex.org/W4380995443","https://openalex.org/W4384207668","https://openalex.org/W4385494537","https://openalex.org/W4385570685","https://openalex.org/W4385764418","https://openalex.org/W4387004608","https://openalex.org/W4387427294","https://openalex.org/W4388487502","https://openalex.org/W4388591175","https://openalex.org/W4389903797","https://openalex.org/W4396243158"],"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":{"The":[0],"extensive":[1],"spread":[2],"of":[3,24,43,121,130],"sarcasm":[4,13,16,87,97,151],"on":[5,27,34,135],"social":[6],"media":[7],"has":[8,145],"attracted":[9],"great":[10],"attention":[11],"to":[12,19,40,94,103,117],"detection.":[14,88],"Topic-oriented":[15],"detection":[17,98,152],"aims":[18],"determine":[20],"the":[21,58,114,119,127,136],"sarcastic":[22],"tendency":[23],"a":[25,28,100,104,146],"comment":[26,44,59],"specific":[29],"topic.":[30],"Existing":[31],"methods":[32],"focus":[33],"using":[35],"topics":[36,48],"as":[37],"contextual":[38],"information":[39],"enhance":[41,118],"comprehension":[42],"semantics.":[45,132],"However,":[46],"when":[47],"and":[49,79,126],"comments":[50],"contain":[51],"entities":[52],"with":[53],"knowledge":[54,81,83,112],"information,":[55],"accurately":[56],"understanding":[57,129],"semantics":[60],"becomes":[61],"challenging.":[62],"To":[63],"this":[64],"end,":[65],"we":[66,90,109],"investigate":[67],"an":[68],"Entity":[69],"Knowledge-based":[70],"Prompt":[71],"Learning":[72],"(EKPL)":[73],"model":[74,144],"that":[75,141],"combines":[76],"prompt":[77,92,115],"learning":[78,93],"entity":[80,111],"from":[82,99],"graphs":[84],"for":[85],"topic-oriented":[86,96,150],"Specifically,":[89],"use":[91],"transform":[95],"classification":[101],"task":[102],"mask":[105,124],"prediction":[106],"task,":[107],"while":[108],"incorporate":[110],"into":[113],"representation":[116],"expressiveness":[120],"its":[122],"predictive":[123],"words":[125],"model's":[128],"text":[131],"Experimental":[133],"results":[134],"public":[137],"ToSarcasm?":[138],"dataset":[139],"illustrate":[140],"our":[142],"EKPL":[143],"significant":[147],"performance":[148],"in":[149],"task.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}