{"id":"https://openalex.org/W3032949173","doi":"https://doi.org/10.1017/s1351324920000236","title":"Computational generation of slogans","display_name":"Computational generation of slogans","publication_year":2020,"publication_date":"2020-06-03","ids":{"openalex":"https://openalex.org/W3032949173","doi":"https://doi.org/10.1017/s1351324920000236","mag":"3032949173"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324920000236","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324920000236","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/998E0A97377B1588531A0018390E0C91/S1351324920000236a.pdf/div-class-title-computational-generation-of-slogans-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/998E0A97377B1588531A0018390E0C91/S1351324920000236a.pdf/div-class-title-computational-generation-of-slogans-div.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057148063","display_name":"Khalid Alnajjar","orcid":"https://orcid.org/0000-0002-7986-2994"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Khalid Alnajjar","raw_affiliation_strings":["Department of Computer Science and HIIT, University of Helsinki, Helsinki00014, Finland"],"raw_orcid":"https://orcid.org/0000-0002-7986-2994","affiliations":[{"raw_affiliation_string":"Department of Computer Science and HIIT, University of Helsinki, Helsinki00014, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045869840","display_name":"Hannu Toivonen","orcid":"https://orcid.org/0000-0003-1339-8022"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hannu Toivonen","raw_affiliation_strings":["Department of Computer Science and HIIT, University of Helsinki, Helsinki00014, Finland"],"raw_orcid":"https://orcid.org/0000-0003-1339-8022","affiliations":[{"raw_affiliation_string":"Department of Computer Science and HIIT, University of Helsinki, Helsinki00014, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057148063"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":{"value":3160,"currency":"USD","value_usd":3160},"apc_paid":{"value":3160,"currency":"USD","value_usd":3160},"fwci":2.8669,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90628747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"5","first_page":"575","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11795","display_name":"Humor Studies and Applications","score":0.968999981880188,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9514999985694885,"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/slogan","display_name":"Slogan","score":0.9481872320175171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8572051525115967},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.5425143837928772},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5334904789924622},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5230254530906677},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5035931468009949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49486082792282104},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47202008962631226},{"id":"https://openalex.org/keywords/semantic-interpretation","display_name":"Semantic interpretation","score":0.4701188802719116},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.454018235206604},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.41602444648742676},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41173624992370605},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3693717420101166},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.355549156665802},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.26812416315078735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19076350331306458},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1400434374809265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07252171635627747},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.06993022561073303}],"concepts":[{"id":"https://openalex.org/C2780619561","wikidata":"https://www.wikidata.org/wiki/Q30515","display_name":"Slogan","level":3,"score":0.9481872320175171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8572051525115967},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.5425143837928772},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5334904789924622},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5230254530906677},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5035931468009949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49486082792282104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47202008962631226},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.4701188802719116},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.454018235206604},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.41602444648742676},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41173624992370605},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3693717420101166},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.355549156665802},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.26812416315078735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19076350331306458},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1400434374809265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07252171635627747},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.06993022561073303},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1017/s1351324920000236","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324920000236","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/998E0A97377B1588531A0018390E0C91/S1351324920000236a.pdf/div-class-title-computational-generation-of-slogans-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:helda.helsinki.fi:10138/334331","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/334331","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:zenodo.org:3894693","is_oa":true,"landing_page_url":"https://zenodo.org/record/3894693","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Natural Language Engineering","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1017/s1351324920000236","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324920000236","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/998E0A97377B1588531A0018390E0C91/S1351324920000236a.pdf/div-class-title-computational-generation-of-slogans-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5108423257","display_name":"Cross-Lingual Embeddings for Less-Represented Languages in European News Media","funder_award_id":"825153","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5274032858","display_name":null,"funder_award_id":"276897","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3032949173.pdf","grobid_xml":"https://content.openalex.org/works/W3032949173.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W171599861","https://openalex.org/W201781727","https://openalex.org/W585338005","https://openalex.org/W627505216","https://openalex.org/W1521626219","https://openalex.org/W1632114991","https://openalex.org/W1871880028","https://openalex.org/W1894081049","https://openalex.org/W1978528319","https://openalex.org/W1994536300","https://openalex.org/W1999134540","https://openalex.org/W2002112693","https://openalex.org/W2047128631","https://openalex.org/W2048602033","https://openalex.org/W2060276895","https://openalex.org/W2063315366","https://openalex.org/W2066172029","https://openalex.org/W2074610805","https://openalex.org/W2075588260","https://openalex.org/W2077272192","https://openalex.org/W2109042184","https://openalex.org/W2110453538","https://openalex.org/W2111273501","https://openalex.org/W2121523735","https://openalex.org/W2126105956","https://openalex.org/W2133401484","https://openalex.org/W2147223282","https://openalex.org/W2152786291","https://openalex.org/W2155870214","https://openalex.org/W2161373038","https://openalex.org/W2184336692","https://openalex.org/W2246798305","https://openalex.org/W2251921177","https://openalex.org/W2252218513","https://openalex.org/W2263223452","https://openalex.org/W2312867949","https://openalex.org/W2395852107","https://openalex.org/W2550302520","https://openalex.org/W2551913312","https://openalex.org/W2572860143","https://openalex.org/W2574658256","https://openalex.org/W2604703085","https://openalex.org/W2604800168","https://openalex.org/W2787623698","https://openalex.org/W2893695257","https://openalex.org/W2894151458","https://openalex.org/W2902230267","https://openalex.org/W2903328255","https://openalex.org/W2917483491","https://openalex.org/W2950670217","https://openalex.org/W2952919550","https://openalex.org/W2973819181","https://openalex.org/W2994262301","https://openalex.org/W4210870583","https://openalex.org/W4245041192","https://openalex.org/W4393770319","https://openalex.org/W6603350482","https://openalex.org/W6606962066","https://openalex.org/W6636649193","https://openalex.org/W6676279030","https://openalex.org/W6771733025"],"related_works":["https://openalex.org/W2092758511","https://openalex.org/W2346874710","https://openalex.org/W2334899200","https://openalex.org/W2952204366","https://openalex.org/W4294365771","https://openalex.org/W2896088895","https://openalex.org/W2787308232","https://openalex.org/W3161756515","https://openalex.org/W2201932108","https://openalex.org/W3211060392"],"abstract_inverted_index":{"Abstract":[0],"In":[1,34],"advertising,":[2],"slogans":[3,27,91,194],"are":[4],"used":[5],"to":[6,17,56,82,126,162,191,205],"enhance":[7],"the":[8,11,23,143,165,178,202,206,212,215,221,236,247,251,275,278,282],"recall":[9],"of":[10,115,138,214,270],"advertised":[12],"product":[13],"by":[14,106,149,187],"consumers":[15],"and":[16,52,118,120,123,136,145,227,231,253],"distinguish":[18],"it":[19],"from":[20,94,195],"others":[21],"in":[22,66,102],"market.":[24],"Creating":[25],"effective":[26,290],"is":[28,69,185,201,211,220,229,235,268],"a":[29,39,47,63,70,78,100,113,154],"resource-consuming":[30],"task":[31],"for":[32,42,73,89,292],"humans.":[33],"this":[35],"paper,":[36],"we":[37,158,240,249],"describe":[38],"novel":[40,71],"method":[41,72,88,184,252,267,283],"automatically":[43],"generating":[44,74,84,90],"slogans,":[45],"given":[46],"target":[48],"concept":[49],"(e.g.,":[50,58],"car)":[51],"an":[53],"adjectival":[54],"property":[55],"express":[57],"elegant)":[59],"as":[60,112,131],"input.":[61,295],"Additionally,":[62],"key":[64],"component":[65],"our":[67,264],"approach":[68],"nominal":[75],"metaphors,":[76,167],"using":[77,174],"metaphor":[79,144,265],"interpretation":[80],"model,":[81],"allow":[83],"metaphorical":[85],"slogans.":[86,96,244,258],"The":[87,181,259],"extracts":[92],"skeletons":[93],"existing":[95,242,257],"It":[97],"then":[98],"fills":[99],"skeleton":[101],"with":[103,169],"suitable":[104],"words":[105],"utilizing":[107],"multiple":[108,128],"linguistic":[109],"resources":[110],"(such":[111],"repository":[114],"grammatical":[116],"relations,":[117],"semantic":[119,132],"language":[121,134,213],"models)":[122],"genetic":[124],"algorithms":[125],"optimize":[127],"objectives":[129],"such":[130],"relatedness,":[133],"correctness,":[135],"usage":[137],"rhetorical":[139],"devices.":[140],"We":[141],"evaluate":[142,163,241],"slogan":[146,182,203,237,276,291],"generation":[147,183,266],"methods":[148],"running":[150],"crowdsourced":[151,189],"surveys.":[152],"On":[153],"five-point":[155],"Likert":[156],"scale,":[157],"ask":[159],"online":[160],"judges":[161,190],"whether":[164],"generated":[166,173,193],"along":[168],"three":[170],"other":[171],"metaphors":[172],"different":[175],"methods,":[176],"highlight":[177],"intended":[179],"property.":[180],"evaluated":[186,294],"asking":[188],"rate":[192],"five":[196],"perspectives:":[197],"(1)":[198],"how":[199,209,218,224,233],"well":[200],"related":[204],"topic,":[207],"(2)":[208],"correct":[210],"slogan,":[216,222],"(3)":[217],"metaphoric":[219],"(4)":[223],"catchy,":[225],"attractive,":[226],"memorable":[228],"it,":[230],"(5)":[232],"good":[234],"overall.":[238],"Similarly,":[239],"expert-made":[243],"Based":[245],"on":[246],"evaluations,":[248],"analyze":[250],"provide":[254],"insights":[255],"regarding":[256],"empirical":[260],"results":[261,279],"indicate":[262],"that":[263,281],"capable":[269],"producing":[271],"apt":[272],"metaphors.":[273],"Regarding":[274],"generator,":[277],"suggest":[280],"has":[284],"successfully":[285],"produced":[286],"at":[287],"least":[288],"one":[289],"every":[293]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
