{"id":"https://openalex.org/W2763823773","doi":null,"title":"A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks","display_name":"A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2763823773","mag":"2763823773"},"language":"en","primary_location":{"id":"pmh:oai:brage.bibsys.no:11250/2459011","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2459011","pdf_url":"http://hdl.handle.net/11250/2459011","source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11250/2459011","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022023113","display_name":"Dag Inge Helg\u00f8y","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dag Inge Helg\u00f8y","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015634941","display_name":"Markus Lund","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markus Lund","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.8105000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.8105000257492065,"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/T10028","display_name":"Topic Modeling","score":0.15860000252723694,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.012500000186264515,"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/controllable-text-generation","display_name":"controllable text generation","score":0.8370000123977661},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9490000009536743},{"id":"https://openalex.org/keywords/image-captioning","display_name":"image captioning","score":0.8270000219345093},{"id":"https://openalex.org/keywords/bleu","display_name":"BLEU","score":0.9350000023841858},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"information retrieval","score":0.7329999804496765}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8768907785415649},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7333481311798096},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.6710340976715088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.512796938419342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510118305683136},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4860859215259552},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3594438433647156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32102376222610474},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1868821084499359}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:brage.bibsys.no:11250/2459011","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2459011","pdf_url":"http://hdl.handle.net/11250/2459011","source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master thesis"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2459011","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2459011","pdf_url":null,"source":{"id":"https://openalex.org/S7407064446","display_name":"NORA - Norwegian Open Research Archives","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"mag:2763823773","doi":null,"is_oa":false,"landing_page_url":"https://brage.bibsys.no/xmlui/handle/11250/2459011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:brage.bibsys.no:11250/2459011","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2459011","pdf_url":"http://hdl.handle.net/11250/2459011","source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2763823773.pdf","grobid_xml":"https://content.openalex.org/works/W2763823773.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W8316075","https://openalex.org/W22861983","https://openalex.org/W93016980","https://openalex.org/W179875071","https://openalex.org/W196214544","https://openalex.org/W658020064","https://openalex.org/W1498436455","https://openalex.org/W1686810756","https://openalex.org/W1687846465","https://openalex.org/W1714211023","https://openalex.org/W1893585201","https://openalex.org/W1895577753","https://openalex.org/W1897761818","https://openalex.org/W1959608418","https://openalex.org/W1969616664","https://openalex.org/W1995341919","https://openalex.org/W2052958516","https://openalex.org/W2071128523","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2101105183","https://openalex.org/W2102113734","https://openalex.org/W2107878631","https://openalex.org/W2112796928","https://openalex.org/W2117130368","https://openalex.org/W2119717200","https://openalex.org/W2123024445","https://openalex.org/W2130942839","https://openalex.org/W2141504882","https://openalex.org/W2143668817","https://openalex.org/W2149172860","https://openalex.org/W2155027007","https://openalex.org/W2157331557","https://openalex.org/W2173520492","https://openalex.org/W2175711684","https://openalex.org/W2183341477","https://openalex.org/W2185175083","https://openalex.org/W2187089797","https://openalex.org/W2250539671","https://openalex.org/W2279302940","https://openalex.org/W2405756170","https://openalex.org/W2412510955","https://openalex.org/W2432004435","https://openalex.org/W2465870074","https://openalex.org/W2527819024","https://openalex.org/W2547875792","https://openalex.org/W2552465644","https://openalex.org/W2577946330","https://openalex.org/W2581637843","https://openalex.org/W2591807639","https://openalex.org/W2592298275","https://openalex.org/W2601324753","https://openalex.org/W2605045867","https://openalex.org/W2766736793","https://openalex.org/W2809161641","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2963921497","https://openalex.org/W2964121744","https://openalex.org/W2964268978","https://openalex.org/W3207342693"],"related_works":["https://openalex.org/W3011438254","https://openalex.org/W4306832680","https://openalex.org/W2895824518","https://openalex.org/W7154479596","https://openalex.org/W2929742901","https://openalex.org/W3176393173","https://openalex.org/W3111969164","https://openalex.org/W2953700661","https://openalex.org/W2625357353","https://openalex.org/W3133925062"],"abstract_inverted_index":{"The":[0,61,189],"challenges":[1],"of":[2,17,26,46,52,131,137,144,191,205,242,255],"training":[3,94],"generative":[4,32,225],"adversarial":[5],"network":[6,59],"(GAN)":[7],"to":[8,34,41,92,107,119,127,134,156,213,250,263],"produce":[9,108],"discrete":[10,138],"tokens,":[11],"have":[12,217],"seen":[13],"a":[14,85,129,142,164,186,211,240,264],"considerable":[15],"amount":[16,25],"work":[18,28],"in":[19,103],"the":[20,24,42,47,50,54,58,71,93,120,200,203,230,252],"past":[21],"year.":[22],"However,":[23],"successful":[27],"on":[29],"applying":[30],"deep":[31],"models":[33,64],"text":[35,67,110,154,159,169,224],"generation":[36,170],"is":[37,49,105,116,185],"limited,":[38],"when":[39],"compared":[40],"visual":[43],"domain.":[44],"One":[45],"reasons,":[48],"challenge":[51],"passing":[53],"gradient,":[55],"while":[56],"keeping":[57],"differentiable.":[60],"known":[62],"effective":[63],"that":[65,88,151],"generate":[66],"with":[68,239],"GAN,":[69],"extend":[70],"original":[72],"framework":[73],"proposed":[74],"by":[75,97,183],"Goodfellow":[76,98],"et":[77,99],"al.":[78,100],"[2014],":[79,101],"using":[80,171],"reinforcement":[81],"learning.":[82],"\\n\\nWe":[83],"propose":[84],"novel":[86],"approach":[87,115,162],"requires":[89],"no":[90],"modification":[91],"process":[95],"introduced":[96],"and":[102,123],"addition":[104],"able":[106,126],"meaningful":[109],"without":[111],"any":[112,174],"pre-training.":[113],"Our":[114],"not":[117],"limited":[118],"textual":[121],"domain,":[122],"could":[124],"be":[125],"solve":[128],"variety":[130],"problems":[132],"related":[133],"generating":[135],"sequences":[136],"tokens.":[139],"We":[140],"show":[141],"proof":[143],"concept":[145],"for":[146,167,194,223],"an":[147,219],"image":[148],"captioning":[149],"model":[150],"extends":[152],"our":[153,256],"generator":[155],"perform":[157],"controllable":[158],"generation.":[160],"This":[161,227,247],"provides":[163],"straightforward":[165],"method":[166,222,228],"controlling":[168],"images,":[172],"or":[173],"other":[175],"vector":[176],"representing":[177],"relevant":[178],"information.":[179],"\\n\\nEvaluating":[180],"results":[181],"produced":[182],"GANs":[184],"common":[187,206],"problem.":[188],"absence":[190],"real":[192],"data":[193],"each":[195],"corresponding":[196],"sample":[197],"generated":[198],"from":[199],"network,":[201],"makes":[202],"appliance":[204],"evaluation":[207,221,233,236],"methods":[208],"difficult.":[209],"As":[210],"solution":[212],"this":[214],"challenge,":[215],"we":[216],"developed":[218],"automatic":[220],"systems.":[226],"combines":[229],"machine":[231],"learning":[232],"metric,":[234],"bilingual":[235],"understudy":[237],"(BLEU),":[238],"set":[241],"interchangeable":[243],"information":[244],"retrieval":[245],"techniques.":[246],"permits":[248],"us":[249],"evaluate":[251],"semantic":[253],"quality":[254],"models,":[257],"as":[258,260],"well":[259],"comparing":[261],"them":[262],"baseline.":[265]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2017-10-20T00:00:00"}