{"id":"https://openalex.org/W3090245549","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207237","title":"Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm","display_name":"Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090245549","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207237","mag":"3090245549"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Towards_Improved_Deep_Contextual_Embedding_for_the_identification_of_Irony_and_Sarcasm/20683999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077006200","display_name":"Usman Naseem","orcid":"https://orcid.org/0000-0003-0191-7171"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Usman Naseem","raw_affiliation_strings":["School of Computer Science, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033585021","display_name":"Imran Razzak","orcid":"https://orcid.org/0000-0002-3930-6600"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Imran Razzak","raw_affiliation_strings":["School of Information Technology, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071084001","display_name":"Peter Eklund","orcid":"https://orcid.org/0000-0003-2313-8603"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter Eklund","raw_affiliation_strings":["School of Information Technology, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051832847","display_name":"Katarzyna Musia\u0142","orcid":"https://orcid.org/0000-0001-6038-7647"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Katarzyna Musial","raw_affiliation_strings":["School of Computer Science, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9944999814033508,"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":0.9515506625175476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298461198806763},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.6225724816322327},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.613604724407196},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5636465549468994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5618229508399963},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.49064651131629944},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.4876214563846588},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4435432255268097},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.43762776255607605},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.32676512002944946}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9515506625175476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298461198806763},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.6225724816322327},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.613604724407196},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5636465549468994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5618229508399963},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.49064651131629944},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.4876214563846588},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4435432255268097},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.43762776255607605},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32676512002944946},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30145224","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20683999","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Towards_Improved_Deep_Contextual_Embedding_for_the_identification_of_Irony_and_Sarcasm/20683999","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/147162","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/147162","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20683999","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Towards_Improved_Deep_Contextual_Embedding_for_the_identification_of_Irony_and_Sarcasm/20683999","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W56640875","https://openalex.org/W1832693441","https://openalex.org/W2038634595","https://openalex.org/W2112344871","https://openalex.org/W2153579005","https://openalex.org/W2250489604","https://openalex.org/W2250710744","https://openalex.org/W2296283641","https://openalex.org/W2512532697","https://openalex.org/W2604716683","https://openalex.org/W2607623312","https://openalex.org/W2787414878","https://openalex.org/W2806834924","https://openalex.org/W2809205326","https://openalex.org/W2896457183","https://openalex.org/W2906869079","https://openalex.org/W2932321119","https://openalex.org/W2945662754","https://openalex.org/W2946805728","https://openalex.org/W2947680394","https://openalex.org/W2951876369","https://openalex.org/W2962681323","https://openalex.org/W2962692632","https://openalex.org/W2962739339","https://openalex.org/W2962963628","https://openalex.org/W2963723676","https://openalex.org/W2964101952","https://openalex.org/W2964126051","https://openalex.org/W2990453928","https://openalex.org/W2991568321","https://openalex.org/W2996428491","https://openalex.org/W3003958081","https://openalex.org/W3022029496","https://openalex.org/W4294170691","https://openalex.org/W4297805823","https://openalex.org/W6682691769","https://openalex.org/W6691288977","https://openalex.org/W6755207826","https://openalex.org/W6776734875"],"related_works":["https://openalex.org/W589925897","https://openalex.org/W2561892072","https://openalex.org/W1994630074","https://openalex.org/W848438165","https://openalex.org/W2085360624","https://openalex.org/W2565799483","https://openalex.org/W3008485937","https://openalex.org/W4389966924","https://openalex.org/W4311456785","https://openalex.org/W2477419824"],"abstract_inverted_index":{"Humans":[0],"use":[1],"tonal":[2],"stress":[3],"and":[4,103,133],"gestural":[5],"cues":[6,33],"to":[7,43,68,143,151],"reveal":[8],"negative":[9],"feelings":[10],"that":[11,177],"are":[12,37],"expressed":[13],"ironically":[14],"using":[15],"positive":[16,19],"or":[17,75],"intensified":[18],"words":[20,134],"when":[21],"communicating":[22],"vocally.":[23],"However,":[24],"in":[25,90,105],"textual":[26],"data,":[27],"like":[28],"posts":[29,108],"on":[30,34,168],"social":[31,106],"media,":[32],"sentiment":[35,94,155],"valence":[36],"absent,":[38],"thus":[39],"making":[40],"it":[41],"challenging":[42],"identify":[44,69],"the":[45,52,80,91,99,125,154,161,165],"true":[46],"meaning":[47],"of":[48,82,93,101,156,164],"utterances,":[49],"even":[50],"for":[51,171],"human":[53],"reader.":[54],"For":[55],"a":[56,71,157],"given":[57],"post,":[58],"an":[59],"intelligent":[60,112],"natural":[61],"language":[62,126],"processing":[63],"system":[64],"should":[65],"be":[66],"able":[67],"whether":[70],"post":[72],"is":[73,140],"ironic/sarcastic":[74],"not.":[76],"Recent":[77],"work":[78],"confirms":[79],"difficulty":[81],"detecting":[83],"sarcastic/ironic":[84],"posts.":[85],"To":[86],"overcome":[87],"challenges":[88],"involved":[89],"identification":[92,100],"valence,":[95],"this":[96],"paper":[97],"presents":[98],"irony":[102],"sarcasm":[104],"media":[107],"through":[109],"transformer-based":[110],"deep,":[111],"contextual":[113],"embedding":[114],"-":[115,117],"T-DICE":[116,139],"which":[118],"improves":[119],"noise":[120],"within":[121],"contexts.":[122],"It":[123],"solves":[124],"ambiguities":[127],"such":[128],"as":[129],"polysemy,":[130],"semantics,":[131],"syntax,":[132],"sentiments":[135],"by":[136],"integrating":[137],"embeddings.":[138],"then":[141],"forwarded":[142],"attention-based":[144],"Bidirectional":[145],"Long":[146],"Short":[147],"Term":[148],"Memory":[149],"(BiLSTM)":[150],"find":[152],"out":[153],"post.":[158],"We":[159],"report":[160],"classification":[162],"performance":[163],"proposed":[166],"network":[167],"benchmark":[169],"datasets":[170],"#irony":[172],"&":[173],"#sarcasm.":[174],"Results":[175],"demonstrate":[176],"our":[178],"approach":[179],"outperforms":[180],"existing":[181],"state-of-the-art":[182],"methods.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
