{"id":"https://openalex.org/W3000546715","doi":"https://doi.org/10.1145/3368567.3368576","title":"Automatic Humor Detection from Code-Mixed Tweets","display_name":"Automatic Humor Detection from Code-Mixed Tweets","publication_year":2019,"publication_date":"2019-12-12","ids":{"openalex":"https://openalex.org/W3000546715","doi":"https://doi.org/10.1145/3368567.3368576","mag":"3000546715"},"language":"en","primary_location":{"id":"doi:10.1145/3368567.3368576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368567.3368576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Forum for Information Retrieval Evaluation","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/A5009271235","display_name":"Vaibhav Shukla","orcid":"https://orcid.org/0000-0001-8433-6756"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaibhav Shukla","raw_affiliation_strings":["Indian Institute of Information Technology, Kalyani"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Kalyani","institution_ids":["https://openalex.org/I26072440","https://openalex.org/I77501641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020521704","display_name":"Manjira Sinha","orcid":"https://orcid.org/0000-0002-2653-5092"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manjira Sinha","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029852186","display_name":"Tirthankar Dasgupta","orcid":"https://orcid.org/0000-0001-6590-6936"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tirthankar Dasgupta","raw_affiliation_strings":["TCS Innovation Labs, Kolkata"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Kolkata","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8226,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76975885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7994848489761353},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5180321335792542},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3255308270454407},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32212668657302856},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.29712429642677307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994848489761353},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5180321335792542},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3255308270454407},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32212668657302856},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29712429642677307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3368567.3368576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368567.3368576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Forum for Information Retrieval Evaluation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1844374543","https://openalex.org/W2009578396","https://openalex.org/W2013580886","https://openalex.org/W2015089823","https://openalex.org/W2041400887","https://openalex.org/W2112344871","https://openalex.org/W2144499799","https://openalex.org/W2250539671","https://openalex.org/W2251092808","https://openalex.org/W2251785914","https://openalex.org/W2251920663","https://openalex.org/W2464112344","https://openalex.org/W2613995098","https://openalex.org/W2771472444","https://openalex.org/W2804900514","https://openalex.org/W2950577311","https://openalex.org/W2952005787","https://openalex.org/W2964269364"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"have":[4,39],"studied":[5],"a":[6],"series":[7],"of":[8,18,48],"deep":[9],"convolution":[10],"recurrent":[11],"neural":[12,42],"network":[13,43],"models":[14,54],"for":[15],"automatic":[16],"recognition":[17],"humor":[19],"from":[20],"Hindi-English":[21],"code":[22],"mixed":[23],"text.":[24],"The":[25],"proposed":[26],"model":[27],"takes":[28],"into":[29],"consideration":[30],"both":[31],"word":[32,59],"level":[33,36],"and":[34,52,60],"sentence":[35,61],"embeddings.":[37],"We":[38],"observed":[40],"that":[41,45],"architectures":[44],"make":[46],"use":[47],"the":[49,57,66],"bidirectional":[50],"LSTM":[51],"CNN":[53],"along":[55],"with":[56],"combined":[58],"embeddings":[62],"perform":[63],"better":[64],"than":[65],"other":[67],"baseline":[68],"models.":[69]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}