{"id":"https://openalex.org/W2970252517","doi":"https://doi.org/10.18653/v1/d19-1372","title":"Humor Detection: A Transformer Gets the Last Laugh","display_name":"Humor Detection: A Transformer Gets the Last Laugh","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970252517","doi":"https://doi.org/10.18653/v1/d19-1372","mag":"2970252517"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1372","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1372","pdf_url":"https://www.aclweb.org/anthology/D19-1372.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1372.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056096860","display_name":"Orion Weller","orcid":"https://orcid.org/0000-0003-4148-5430"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Orion Weller","raw_affiliation_strings":["Computer Science Department Brigham Young University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department Brigham Young University","institution_ids":["https://openalex.org/I100005738","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029074659","display_name":"Kevin Seppi","orcid":"https://orcid.org/0000-0002-4932-2700"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Kevin Seppi","raw_affiliation_strings":["Computer Science Department Brigham Young University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department Brigham Young University","institution_ids":["https://openalex.org/I100005738","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":108,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3619","last_page":"3623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9907000064849854,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6463316082954407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5969119071960449},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3330548405647278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22487956285476685},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18870827555656433},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.05505180358886719}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6463316082954407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5969119071960449},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3330548405647278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22487956285476685},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18870827555656433},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.05505180358886719}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1372","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1372","pdf_url":"https://www.aclweb.org/anthology/D19-1372.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1372","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1372","pdf_url":"https://www.aclweb.org/anthology/D19-1372.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970252517.pdf","grobid_xml":"https://content.openalex.org/works/W2970252517.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W96086407","https://openalex.org/W172035031","https://openalex.org/W1514535095","https://openalex.org/W1902237438","https://openalex.org/W2033175753","https://openalex.org/W2038712753","https://openalex.org/W2090915937","https://openalex.org/W2112796928","https://openalex.org/W2133564696","https://openalex.org/W2138825839","https://openalex.org/W2251785914","https://openalex.org/W2470673105","https://openalex.org/W2804900514","https://openalex.org/W2885586371","https://openalex.org/W2896457183","https://openalex.org/W2936405048","https://openalex.org/W2963045354","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964308564","https://openalex.org/W4385245566","https://openalex.org/W4394643672"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Orion":[0],"Weller,":[1],"Kevin":[2],"Seppi.":[3],"Proceedings":[4],"of":[5],"the":[6,17],"2019":[7],"Conference":[8,21],"on":[9,22],"Empirical":[10],"Methods":[11],"in":[12],"Natural":[13,23],"Language":[14,24],"Processing":[15,25],"and":[16],"9th":[18],"International":[19],"Joint":[20],"(EMNLP-IJCNLP).":[26],"2019.":[27]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":24}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
