{"id":"https://openalex.org/W4229004534","doi":"https://doi.org/10.1145/3477314.3507131","title":"IA-BERT","display_name":"IA-BERT","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4229004534","doi":"https://doi.org/10.1145/3477314.3507131"},"language":"en","primary_location":{"id":"doi:10.1145/3477314.3507131","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507131","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091473413","display_name":"Ida Ayu Putu Ari Crisdayanti","orcid":"https://orcid.org/0000-0001-7239-0544"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ida Ayu Putu Ari Crisdayanti","raw_affiliation_strings":["Sungkyunkwan University, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044635661","display_name":"JinYeong Bak","orcid":"https://orcid.org/0000-0002-3212-5241"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JinYeong Bak","raw_affiliation_strings":["Sungkyunkwan University, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007163911","display_name":"Yun-Seok Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"YunSeok Choi","raw_affiliation_strings":["Sungkyunkwan University, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067651075","display_name":"Jee-Hyong Lee","orcid":"https://orcid.org/0000-0001-7242-7677"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jee-Hyong Lee","raw_affiliation_strings":["Sungkyunkwan University, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091473413"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02908856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1084","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9965000152587891,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9965000152587891,"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":0.9905999898910522,"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/T10260","display_name":"Software Engineering Research","score":0.9521999955177307,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sarcasm","display_name":"Sarcasm","score":0.9901946783065796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7837017774581909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5979697108268738},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.59647536277771},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5707080364227295},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.5581303834915161},{"id":"https://openalex.org/keywords/literal-and-figurative-language","display_name":"Literal and figurative language","score":0.5242823958396912},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5040737390518188},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47228604555130005},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.42602166533470154},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32244741916656494},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.21492576599121094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06265416741371155}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9901946783065796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837017774581909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5979697108268738},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.59647536277771},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5707080364227295},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.5581303834915161},{"id":"https://openalex.org/C46182478","wikidata":"https://www.wikidata.org/wiki/Q7363315","display_name":"Literal and figurative language","level":2,"score":0.5242823958396912},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5040737390518188},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47228604555130005},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42602166533470154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32244741916656494},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21492576599121094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06265416741371155},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.0},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477314.3507131","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507131","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1847618513","https://openalex.org/W2038634595","https://openalex.org/W2250710744","https://openalex.org/W2512532697","https://openalex.org/W2524643686","https://openalex.org/W2529281176","https://openalex.org/W2771976988","https://openalex.org/W2963150162","https://openalex.org/W2964164368","https://openalex.org/W2991568321","https://openalex.org/W3036385245","https://openalex.org/W3045538798","https://openalex.org/W3045548578","https://openalex.org/W3046029109","https://openalex.org/W3046075181","https://openalex.org/W3103593657","https://openalex.org/W4205184193","https://openalex.org/W4239019441"],"related_works":["https://openalex.org/W2900446122","https://openalex.org/W4312684429","https://openalex.org/W3037315328","https://openalex.org/W3101138303","https://openalex.org/W2349372848","https://openalex.org/W2753593955","https://openalex.org/W2907442881","https://openalex.org/W3018705632","https://openalex.org/W4311456904","https://openalex.org/W4377942442"],"abstract_inverted_index":{"Sarcasm":[0],"as":[1,47],"a":[2,29,76,96,126],"form":[3],"of":[4,141],"figurative":[5],"language":[6],"has":[7],"been":[8],"widely":[9],"used":[10],"to":[11,23,83],"implicitly":[12],"convey":[13],"an":[14],"offensive":[15],"opinion.":[16],"While":[17],"preliminary":[18],"researches":[19],"have":[20,44],"constantly":[21],"tried":[22],"identify":[24,84],"the":[25,35,62,105,113,116,130,138,144],"sarcasm":[26,41,56],"lying":[27],"in":[28,48,52,89,143],"text":[30],"directly":[31],"from":[32,65,104,112,129],"tokens":[33],"within":[34],"text,":[36],"it":[37],"is":[38,93],"insufficient":[39],"because":[40],"does":[42],"not":[43],"specific":[45],"vocabularies":[46],"polarized":[49],"sentences.":[50],"Especially":[51],"threads":[53],"or":[54,68],"discussions,":[55],"can":[57],"be":[58],"identified":[59],"after":[60],"getting":[61],"context":[63,114],"information":[64,82],"previous":[66],"replies":[67],"discussions.":[69],"To":[70],"this":[71],"end,":[72],"we":[73],"propose":[74],"IA-BERT,":[75],"model":[77,119],"architecture":[78,140],"that":[79,87,100],"considers":[80],"contextual":[81],"incongruity":[85],"features":[86,102,110],"lie":[88],"sarcastic":[90],"texts.":[91],"IA-BERT":[92,135],"embedded":[94],"with":[95],"feature":[97],"attention":[98],"layer":[99],"combines":[101],"extracted":[103],"response":[106],"alone":[107],"and":[108,115,124,146],"interactive":[109],"obtained":[111],"response.":[117],"The":[118],"leverages":[120],"BERT":[121,133],"pretrained":[122],"embedding":[123],"yields":[125],"performance":[127],"improvement":[128],"standard":[131],"fine-tuned":[132],"classifier.":[134],"also":[136],"outperforms":[137],"sophisticated":[139],"LCF-BERT":[142],"accuracy":[145],"F1-score.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-08T00:00:00"}