{"id":"https://openalex.org/W2900042749","doi":"https://doi.org/10.18653/v1/w18-6242","title":"Homonym Detection For Humor Recognition In Short Text","display_name":"Homonym Detection For Humor Recognition In Short Text","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2900042749","doi":"https://doi.org/10.18653/v1/w18-6242","mag":"2900042749"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6242","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6242","pdf_url":"https://www.aclweb.org/anthology/W18-6242.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-6242.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034665842","display_name":"Sven van den Beukel","orcid":null},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]},{"id":"https://openalex.org/I4210106289","display_name":"Royal Holland Society of Sciences and Humanities","ror":"https://ror.org/01ghar981","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210106289"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sven van den Beukel","raw_affiliation_strings":["Faculteit der Bta-wetenschappen VU Amsterdam, The Netherlands","Faculteit der B\u00e8ta-wetenschappen VU Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculteit der Bta-wetenschappen VU Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I4210106289"]},{"raw_affiliation_string":"Faculteit der B\u00e8ta-wetenschappen VU Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020832912","display_name":"Lora Aroyo","orcid":null},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]},{"id":"https://openalex.org/I4210106289","display_name":"Royal Holland Society of Sciences and Humanities","ror":"https://ror.org/01ghar981","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210106289"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Lora Aroyo","raw_affiliation_strings":["Faculteit der Bta-wetenschappen VU Amsterdam, The Netherlands","Faculteit der B\u00e8ta-wetenschappen VU Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculteit der Bta-wetenschappen VU Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I4210106289"]},{"raw_affiliation_string":"Faculteit der B\u00e8ta-wetenschappen VU Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020832912"],"corresponding_institution_ids":["https://openalex.org/I4210106289","https://openalex.org/I865915315"],"apc_list":null,"apc_paid":null,"fwci":2.5545,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8933997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9911999702453613,"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":0.9911999702453613,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.963100016117096,"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/homophone","display_name":"Homophone","score":0.9561819434165955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7332058548927307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951628684997559},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5809690356254578},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5091838240623474},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5017685890197754},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4610874056816101},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44563862681388855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37367919087409973},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1995890736579895},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13563716411590576},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.12381178140640259}],"concepts":[{"id":"https://openalex.org/C160253069","wikidata":"https://www.wikidata.org/wiki/Q221079","display_name":"Homophone","level":2,"score":0.9561819434165955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332058548927307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951628684997559},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5809690356254578},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5091838240623474},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5017685890197754},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4610874056816101},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44563862681388855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37367919087409973},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1995890736579895},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13563716411590576},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.12381178140640259},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-6242","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6242","pdf_url":"https://www.aclweb.org/anthology/W18-6242.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6242","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6242","pdf_url":"https://www.aclweb.org/anthology/W18-6242.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900042749.pdf","grobid_xml":"https://content.openalex.org/works/W2900042749.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W26816478","https://openalex.org/W161100986","https://openalex.org/W172035031","https://openalex.org/W1795136465","https://openalex.org/W1823076430","https://openalex.org/W1833933305","https://openalex.org/W1841352775","https://openalex.org/W1908341209","https://openalex.org/W1980564272","https://openalex.org/W2033175753","https://openalex.org/W2090915937","https://openalex.org/W2112282043","https://openalex.org/W2118964974","https://openalex.org/W2123442489","https://openalex.org/W2136725467","https://openalex.org/W2149684865","https://openalex.org/W2291013739","https://openalex.org/W2576454451","https://openalex.org/W2577662094","https://openalex.org/W4241587018"],"related_works":["https://openalex.org/W2358775429","https://openalex.org/W1567440624","https://openalex.org/W2364211260","https://openalex.org/W1977345729","https://openalex.org/W2105439214","https://openalex.org/W2079548008","https://openalex.org/W2030399736","https://openalex.org/W1985374210","https://openalex.org/W4245032792","https://openalex.org/W2371388421"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"automatic":[3],"homophone-and":[4],"homograph":[5,39],"detection":[6,40],"are":[7],"suggested":[8],"as":[9,47,54],"new":[10],"useful":[11,38],"features":[12,55],"for":[13,92],"humor":[14,25,74,93],"recognition":[15,26,94],"systems.":[16],"The":[17,33],"system":[18,89],"combines":[19],"style-features":[20,68],"from":[21],"previous":[22],"studies":[23],"on":[24],"in":[27,60,95],"short":[28],"text":[29],"with":[30],"ambiguity-based":[31],"features.":[32],"performance":[34],"of":[35,73,104],"two":[36],"potentially":[37],"methods":[41],"is":[42],"evaluated":[43],"using":[44],"crowdsourced":[45],"annotations":[46],"ground":[48],"truth.":[49],"Adding":[50],"homophones":[51],"and":[52],"homographs":[53],"to":[56,78],"the":[57,67,71,88,102],"classifier":[58],"results":[59],"a":[61,80],"small":[62],"but":[63],"significant":[64],"improvement":[65],"over":[66],"alone.":[69],"For":[70],"task":[72],"recognition,":[75],"recall":[76],"appears":[77],"be":[79],"more":[81],"important":[82],"quality":[83],"measure":[84],"than":[85],"precision.":[86],"Although":[87],"was":[90],"designed":[91],"oneliners,":[96],"it":[97],"also":[98],"performs":[99],"well":[100],"at":[101],"classification":[103],"longer":[105],"humorous":[106],"texts.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
