{"id":"https://openalex.org/W2908651378","doi":"https://doi.org/10.1145/3297001.3297043","title":"Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation","display_name":"Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation","publication_year":2019,"publication_date":"2019-01-03","ids":{"openalex":"https://openalex.org/W2908651378","doi":"https://doi.org/10.1145/3297001.3297043","mag":"2908651378"},"language":"en","primary_location":{"id":"doi:10.1145/3297001.3297043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297001.3297043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054924966","display_name":"Abhijeet Dubey","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhijeet Dubey","raw_affiliation_strings":["IIT Bombay, Mumbai, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Bombay, Mumbai, Maharashtra, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059529586","display_name":"Aditya Joshi","orcid":"https://orcid.org/0000-0003-2200-9703"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aditya Joshi","raw_affiliation_strings":["CSIRO, Sydney, Sydney, New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO, Sydney, Sydney, New South Wales, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065100828","display_name":"Pushpak Bhattacharyya","orcid":"https://orcid.org/0000-0001-5319-5508"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pushpak Bhattacharyya","raw_affiliation_strings":["IIT Bombay, Mumbai, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Bombay, Mumbai, Maharashtra, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8747,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79171428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing 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/T10181","display_name":"Natural Language Processing 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/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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9954000115394592,"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":0.9706602096557617},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.7971433401107788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7085596919059753},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.7083630561828613},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6551653742790222},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.635696291923523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5998784303665161},{"id":"https://openalex.org/keywords/semantic-interpretation","display_name":"Semantic interpretation","score":0.4279438853263855},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.41207608580589294},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3420708477497101},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.14486068487167358},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08816555142402649}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9706602096557617},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7971433401107788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7085596919059753},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.7083630561828613},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6551653742790222},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.635696291923523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5998784303665161},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.4279438853263855},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.41207608580589294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3420708477497101},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.14486068487167358},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08816555142402649},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3297001.3297043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297001.3297043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:dsapce.library.iitb.ac.in:100/28051","is_oa":false,"landing_page_url":"http://dspace.library.iitb.ac.in/xmlui/handle/100/28051","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"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":12,"referenced_works":["https://openalex.org/W1969186522","https://openalex.org/W2078470255","https://openalex.org/W2098437222","https://openalex.org/W2137527984","https://openalex.org/W2165044314","https://openalex.org/W2252381721","https://openalex.org/W2510483258","https://openalex.org/W2606974598","https://openalex.org/W2758985501","https://openalex.org/W2949888546","https://openalex.org/W2950635152","https://openalex.org/W2953140197"],"related_works":["https://openalex.org/W2785935389","https://openalex.org/W3002413615","https://openalex.org/W2356047318","https://openalex.org/W4388119348","https://openalex.org/W2113142780","https://openalex.org/W2189481835","https://openalex.org/W98467760","https://openalex.org/W3208429855","https://openalex.org/W2036019044","https://openalex.org/W2363785511"],"abstract_inverted_index":{"Sarcasm":[0],"is":[1,12],"a":[2,31,47,54],"form":[3,55],"of":[4,15,25,56,106],"speech":[5],"in":[6,66],"which":[7],"the":[8,9,13,23,44,67,78,104,112],"implied":[10],"sentiment":[11],"opposite":[14],"literal":[16],"meaning.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"present":[22,40,65],"task":[24,81],"sarcasm":[26,52,79,116],"interpretation,":[27],"defined":[28],"as":[29,53,82],"converting":[30],"sarcastic":[32,68],"utterance":[33],"into":[34],"its":[35],"non-sarcastic":[36],"(literal)":[37],"interpretation.":[38,117],"We":[39,101],"three":[41,88],"approaches":[42],"for":[43,115],"task:":[45],"(a)":[46],"rule-based":[48],"approach":[49,75],"that":[50,76],"considers":[51],"dropped":[57],"negation":[58,61],"and":[59,86,97],"associate":[60],"words":[62],"with":[63],"verbs":[64],"utterance,":[69],"(b)":[70],"statistical":[71],"machine":[72,84],"translation-based":[73],"(SMT)":[74],"address":[77],"interpretation":[80],"monolingual":[83],"translation":[85],"(c)":[87],"deep":[89],"learning-based":[90],"(DL)":[91],"architectures,":[92],"Encoder-Decoder":[93],"Network,":[94],"Attention":[95],"Network":[96],"Pointer":[98],"Generator":[99],"Network.":[100],"also":[102],"discuss":[103],"scope":[105],"future":[107],"work":[108],"to":[109],"further":[110],"enhance":[111],"proposed":[113],"models":[114]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}