{"id":"https://openalex.org/W3202421867","doi":"https://doi.org/10.1109/tai.2021.3115992","title":"A Review of Text Style Transfer Using Deep Learning","display_name":"A Review of Text Style Transfer Using Deep Learning","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3202421867","doi":"https://doi.org/10.1109/tai.2021.3115992","mag":"3202421867"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2021.3115992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2021.3115992","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.15144","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Martina Toshevska","orcid":"https://orcid.org/0000-0001-5045-069X"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Ss. Cyril and Methodius University in Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":true,"raw_author_name":"Martina Toshevska","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sonja Gievska","orcid":"https://orcid.org/0000-0002-3411-2399"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Ss. Cyril and Methodius University in Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Sonja Gievska","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia","institution_ids":["https://openalex.org/I76245029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76245029"],"apc_list":null,"apc_paid":null,"fwci":2.9392,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.92489139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"3","issue":"5","first_page":"669","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2222999930381775,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2222999930381775,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.1080000028014183,"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/T12488","display_name":"Mental Health via Writing","score":0.08839999884366989,"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/sentence","display_name":"Sentence","score":0.6829000115394592},{"id":"https://openalex.org/keywords/formality","display_name":"Formality","score":0.6466000080108643},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6273999810218811},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6097000241279602},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5864999890327454},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5799000263214111},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5134000182151794},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4652000069618225}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6829000115394592},{"id":"https://openalex.org/C2777159308","wikidata":"https://www.wikidata.org/wiki/Q1757948","display_name":"Formality","level":2,"score":0.6466000080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6431999802589417},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6273999810218811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227999925613403},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6097000241279602},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5885000228881836},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5864999890327454},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5799000263214111},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.42579999566078186},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C13622073","wikidata":"https://www.wikidata.org/wiki/Q2243831","display_name":"Writing style","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26489999890327454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tai.2021.3115992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2021.3115992","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2109.15144","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.15144","pdf_url":"https://arxiv.org/pdf/2109.15144","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.15144","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.15144","pdf_url":"https://arxiv.org/pdf/2109.15144","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":159,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W147871884","https://openalex.org/W1495762646","https://openalex.org/W1566289585","https://openalex.org/W1567558083","https://openalex.org/W1596001070","https://openalex.org/W1895577753","https://openalex.org/W1902237438","https://openalex.org/W1966797434","https://openalex.org/W1968310019","https://openalex.org/W1971857265","https://openalex.org/W1983286042","https://openalex.org/W1993845689","https://openalex.org/W1997305228","https://openalex.org/W2017729405","https://openalex.org/W2025403586","https://openalex.org/W2063205814","https://openalex.org/W2064675550","https://openalex.org/W2073443734","https://openalex.org/W2078861931","https://openalex.org/W2079521622","https://openalex.org/W2093585241","https://openalex.org/W2099471712","https://openalex.org/W2100772444","https://openalex.org/W2101105183","https://openalex.org/W2112422413","https://openalex.org/W2120615054","https://openalex.org/W2120618638","https://openalex.org/W2124003719","https://openalex.org/W2131774270","https://openalex.org/W2133459682","https://openalex.org/W2142972908","https://openalex.org/W2149628368","https://openalex.org/W2154642048","https://openalex.org/W2157331557","https://openalex.org/W2170571488","https://openalex.org/W2171468534","https://openalex.org/W2211714781","https://openalex.org/W2467173223","https://openalex.org/W2534253848","https://openalex.org/W2539350388","https://openalex.org/W2557480356","https://openalex.org/W2567639685","https://openalex.org/W2594990650","https://openalex.org/W2604799547","https://openalex.org/W2625940279","https://openalex.org/W2755124548","https://openalex.org/W2788321882","https://openalex.org/W2788810909","https://openalex.org/W2805865301","https://openalex.org/W2888436843","https://openalex.org/W2888556895","https://openalex.org/W2952335829","https://openalex.org/W2954643340","https://openalex.org/W2962917899","https://openalex.org/W2962937198","https://openalex.org/W2962953307","https://openalex.org/W2962977603","https://openalex.org/W2963167310","https://openalex.org/W2963241138","https://openalex.org/W2963305465","https://openalex.org/W2963521413","https://openalex.org/W2963631950","https://openalex.org/W2963667126","https://openalex.org/W2964008635","https://openalex.org/W2964195121","https://openalex.org/W2964199361","https://openalex.org/W2964321064","https://openalex.org/W2964352131","https://openalex.org/W2970562804","https://openalex.org/W2986893290","https://openalex.org/W2998659916","https://openalex.org/W3000271234","https://openalex.org/W3007282427","https://openalex.org/W3017372818","https://openalex.org/W3022187094","https://openalex.org/W3026792328","https://openalex.org/W3031450931","https://openalex.org/W3034319502","https://openalex.org/W3034555021","https://openalex.org/W3034942609","https://openalex.org/W3035055558","https://openalex.org/W3035352643","https://openalex.org/W3035475181","https://openalex.org/W3035607998","https://openalex.org/W3035695271","https://openalex.org/W3045969489","https://openalex.org/W3046029109","https://openalex.org/W3088596325","https://openalex.org/W3094412822","https://openalex.org/W3099066892","https://openalex.org/W3104547018","https://openalex.org/W3115471746","https://openalex.org/W3117134193","https://openalex.org/W3119920397","https://openalex.org/W3123073509","https://openalex.org/W3123091093","https://openalex.org/W3172458328","https://openalex.org/W4211061250","https://openalex.org/W4231533450","https://openalex.org/W4237164157","https://openalex.org/W4238608053","https://openalex.org/W4241356532","https://openalex.org/W4297971002","https://openalex.org/W6601303508","https://openalex.org/W6606406289","https://openalex.org/W6607534836","https://openalex.org/W6607822645","https://openalex.org/W6610566761","https://openalex.org/W6629028937","https://openalex.org/W6637373629","https://openalex.org/W6638273328","https://openalex.org/W6640212811","https://openalex.org/W6640963894","https://openalex.org/W6676670208","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6682631176","https://openalex.org/W6683089503","https://openalex.org/W6684090549","https://openalex.org/W6687711781","https://openalex.org/W6688533166","https://openalex.org/W6689993004","https://openalex.org/W6690705642","https://openalex.org/W6691077208","https://openalex.org/W6691459498","https://openalex.org/W6694401350","https://openalex.org/W6697028822","https://openalex.org/W6725207838","https://openalex.org/W6727099177","https://openalex.org/W6727690538","https://openalex.org/W6728698659","https://openalex.org/W6732958910","https://openalex.org/W6736588030","https://openalex.org/W6737479944","https://openalex.org/W6737778391","https://openalex.org/W6738394178","https://openalex.org/W6739901393","https://openalex.org/W6741121127","https://openalex.org/W6748655329","https://openalex.org/W6751974135","https://openalex.org/W6753440613","https://openalex.org/W6754830176","https://openalex.org/W6754869650","https://openalex.org/W6754928636","https://openalex.org/W6755966062","https://openalex.org/W6756006421","https://openalex.org/W6759037234","https://openalex.org/W6761205521","https://openalex.org/W6761362736","https://openalex.org/W6762900673","https://openalex.org/W6763678591","https://openalex.org/W6766673545","https://openalex.org/W6768851824","https://openalex.org/W6771432604","https://openalex.org/W6778478095","https://openalex.org/W6778883912","https://openalex.org/W6796800549","https://openalex.org/W6801509898"],"related_works":[],"abstract_inverted_index":{"Style":[0],"is":[1,50,66,87,122],"an":[2,37,39,45],"integral":[3],"component":[4],"of":[5,12,22,44,55,72,79,114],"a":[6,14,34,53,64,141],"sentence":[7,65,138],"indicated":[8],"by":[9],"the":[10,42,59,70,73,95,105,112,129,147,170],"choice":[11],"words":[13],"person":[15],"makes.":[16],"Different":[17],"people":[18],"have":[19,103],"different":[20],"ways":[21],"expressing":[23],"themselves;":[24],"however,":[25],"they":[26],"adjust":[27],"their":[28],"speaking":[29],"and":[30,118,137,149,158,165],"writing":[31],"style":[32,48,81,131],"to":[33,163],"social":[35],"context,":[36],"audience,":[38],"interlocutor,":[40],"or":[41],"formality":[43],"occasion.":[46],"Text":[47],"transfer":[49,82,132],"defined":[51],"as":[52,154,156],"task":[54],"adapting":[56],"and/or":[57],"changing":[58],"stylistic":[60],"manner":[61],"in":[62,89,98,111,128,140,169],"which":[63],"written,":[67],"while":[68],"preserving":[69],"meaning":[71],"original":[74],"sentence.":[75],"A":[76],"systematic":[77],"review":[78,121],"text":[80,130],"methodologies":[83],"using":[84],"deep":[85,99],"learning":[86,136],"presented":[88],"this":[90],"article.":[91],"We":[92],"point":[93],"out":[94],"technological":[96],"advances":[97],"neural":[100],"networks":[101],"that":[102,160],"been":[104],"driving":[106],"force":[107],"behind":[108],"current":[109],"successes":[110],"fields":[113],"natural":[115],"language":[116],"understanding":[117],"generation.":[119],"The":[120,144],"structured":[123],"around":[124],"two":[125],"key":[126],"stages":[127],"process,":[133],"namely,":[134],"representation":[135],"generation":[139],"new":[142],"style.":[143],"discussion":[145],"highlights":[146],"commonalities":[148],"differences":[150],"between":[151],"proposed":[152],"solutions":[153],"well":[155],"challenges":[157],"opportunities":[159],"are":[161],"expected":[162],"direct":[164],"foster":[166],"further":[167],"research":[168],"field.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2021-10-11T00:00:00"}
