{"id":"https://openalex.org/W2758912031","doi":"https://doi.org/10.18653/v1/d17-1051","title":"Identifying Humor in Reviews using Background Text Sources","display_name":"Identifying Humor in Reviews using Background Text Sources","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2758912031","doi":"https://doi.org/10.18653/v1/d17-1051","mag":"2758912031"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1051","pdf_url":"https://www.aclweb.org/anthology/D17-1051.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 2017 Conference on Empirical Methods in Natural\n          Language Processing","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/D17-1051.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081930502","display_name":"Alex Morales","orcid":"https://orcid.org/0000-0002-1236-6822"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Morales","raw_affiliation_strings":["Department of Computer Science University of Illinois, Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengxiang Zhai","raw_affiliation_strings":["Department of Computer Science University of Illinois, Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9922000169754028,"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":0.9922000169754028,"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/T10028","display_name":"Topic Modeling","score":0.9797000288963318,"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":0.9750999808311462,"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/leverage","display_name":"Leverage (statistics)","score":0.7725735306739807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181583642959595},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6910102367401123},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5562604665756226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5537630915641785},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5510075688362122},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5126878023147583},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3754204511642456},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3740254044532776}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7725735306739807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181583642959595},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6910102367401123},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5562604665756226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5537630915641785},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5510075688362122},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5126878023147583},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3754204511642456},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3740254044532776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1051","pdf_url":"https://www.aclweb.org/anthology/D17-1051.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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1051","pdf_url":"https://www.aclweb.org/anthology/D17-1051.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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332222","display_name":"University of Illinois at Urbana-Champaign","ror":"https://ror.org/047426m28"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2758912031.pdf","grobid_xml":"https://content.openalex.org/works/W2758912031.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W85238235","https://openalex.org/W101576916","https://openalex.org/W184054488","https://openalex.org/W1559139641","https://openalex.org/W1612003148","https://openalex.org/W1823076430","https://openalex.org/W1880262756","https://openalex.org/W1969340229","https://openalex.org/W1983719983","https://openalex.org/W2015089823","https://openalex.org/W2018029294","https://openalex.org/W2032031611","https://openalex.org/W2038634595","https://openalex.org/W2047756776","https://openalex.org/W2049633694","https://openalex.org/W2087743880","https://openalex.org/W2112649955","https://openalex.org/W2121290223","https://openalex.org/W2129983478","https://openalex.org/W2143031205","https://openalex.org/W2151048449","https://openalex.org/W2161283199","https://openalex.org/W2296765593","https://openalex.org/W2339299925","https://openalex.org/W2504511952","https://openalex.org/W4293355737","https://openalex.org/W4301481313"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495","https://openalex.org/W4387506531"],"abstract_inverted_index":{"We":[0,19],"study":[1],"the":[2,27,75,80,89,94],"problem":[3],"of":[4,13,29,51,59],"automatically":[5],"identifying":[6,55,114],"humorous":[7,33,56,69,105],"text":[8,14,41],"from":[9],"a":[10,21],"new":[11],"kind":[12],"data,":[15],"i.e.,":[16],"online":[17],"reviews.":[18,57,116],"propose":[20],"generative":[22,82],"language":[23],"model,":[24],"based":[25,78],"on":[26,79],"theory":[28],"incongruity,":[30],"to":[31,38,99],"model":[32,83],"text,":[34],"which":[35],"allows":[36],"us":[37,98],"leverage":[39],"background":[40],"sources,":[42],"such":[43],"as":[44],"Wikipedia":[45],"entry":[46],"descriptions,":[47],"and":[48,70],"enables":[49],"construction":[50],"multiple":[52],"features":[53,61,76,91],"for":[54,65,113],"Evaluation":[58],"these":[60],"using":[62],"supervised":[63],"learning":[64],"classifying":[66],"reviews":[67,72],"into":[68],"non-humorous":[71],"shows":[73],"that":[74],"constructed":[77],"proposed":[81,92],"are":[84],"much":[85],"more":[86],"effective":[87],"than":[88],"major":[90],"in":[93],"existing":[95],"literature,":[96],"allowing":[97],"achieve":[100],"almost":[101],"86%":[102],"accuracy.":[103],"These":[104],"review":[106],"predictions":[107],"can":[108],"also":[109],"supply":[110],"good":[111],"indicators":[112],"helpful":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
